Github has become the goto source for all things open-source and contains tons of resource for Machine Learning practitioners. * 1. I used supervised learning algorithms to solve the regression problem of predicting the cost of a hotel booking and the classification problem of predicting whether or not a hotel booking will be canceled. 32.) Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. … Follow their code on GitHub. At its core, it uses a neural network to converts images to HTML markup. The original Python program, has in fact been converted into an executable using Pyinstaller and NSIS (in order to download just the needed dependencies to create the EXE file, a virtual environment has been used). On this project page, is freely available to download a GUI based machine learning classifier created using Tkinter and Tensorflow VGG16 pre-trained classifier. Here is a list of top Python Machine learning projects on GitHub. In particularly, my classifier is bias toward the age group of 33-45 and 60 above. Last updated on 2021-01-18. Aweome-TensorFlow; 7. NuPIC (Numenta Platform for Intelligent Computing). For this project, I utilized machine learning techniques to generate business value from a data set of hotel bookings. Data and code behind the stories and interactives at FiveThirtyEight. Scikit-learn. That’s the conclusion reached by GitHub, which has crunched its repository traffic for insights into how … GitHub is a code hosting platform for version control and collaboration. It creates a supervised learning-based system that can do a summarization of the scientific papers. Below are some key points regarding this project: In this project, I trained my a Age classifier with EfficientNet which was claimed to achiever better accuracy than than previous ConvNets. The Painting AI GitHub repository contains a deep reinforcement learning -based model that teaches machines to paint human-painted pictures by using a fewer number of strokes. What is GitHub? It [Read More..], There are plenty of courses / certifications accessible to self-start your career in R Programming with Data Analytics and Machine Learning. GitHub is a code hosting platform for version control and collaboration. In the event that you haven’t [Read More..], Choosing the Right book is always a difficult task for any individual with plenty of Books available Online to kick-start your career. BERT; 5. Model was trained on Colab with 900 epochs using Yolov3. It gives you and others a chance to cooperate on projects from anyplace. You don’t have to know how to code, utilize the command line, or install Git (the version control software GitHub is based on). The accuracy is nearly 95%. GitHub shows basics like repositories, branches, commits, and Pull Requests. What is GitHub? To view my notebook directly from Github, you can use nbviewer. Codify data and models with DVC instead of pushing to your Git repo. Mathalope.co.uk. It has been a truly revolutionary platform in recent years and has changed the landscape of how we host and even do coding. We bring to you a list of 10 Github repositories with most stars. We have not included the tutorial projects and have only restricted this list to projects and frameworks. Thanks to a wide variety of open-source libraries, it is relatively easy nowadays to start exploring datasets and making some first predictions using simple Machine Learning (ML) algorithms in Python. A toolkit for making real world machine learning and data analysis applications in C++. Avid Deep Learner but okay with shallow learning too. Link to the repository The idea of this project is to create a Deep Learning model that deliver textual description from given photographs. As general purpose a toolkit as there could be, Scikit-learn contains classification, regression, and clustering algorithms, as well as data-preparation and model-evaluation tools. I also tried with other popular networks as MobileNets, VGG16, ResNet50, Xcepticon but the accuracy were much worse than EfficientNet. Their Python section includes tons of tutorials for building a host of projects from web scrapers, bots, and web applications to building Data Science, Machine Learning, and Deep Learning solutions. Contribute to mkhalid1/Machine-Learning-Projects-Python- development by creating an account on GitHub. Python is one of the best programming language asked for by organizations in 2019. Belows are brief description and demonstration of my projects: Facemask detection with Deeplearning and OpenCV; Traffic signs detection with YOLOv4; Gun detection with YOLOv3; Image caption generator The main trouble [Read More..], There are plenty of courses / certifications accessible to self-start your career in Machine Learning.These courses are given in online or offline. Dataset: COCO dataset is a large-scale object-detection dataset which contains of approximately 330K images. by Nick Kolakowski May 8, 2020 4 min read. Use GitLab or GitHub to manage ML experiments, track who trained ML models or modified data and when. As general purpose a toolkit as there could be, Scikit-learn contains classification, regression, and clustering algorithms, as well as data-preparation and model-evaluation tools. Tensorflow. A curated list of awesome Machine Learning frameworks, libraries and software. Principal Component Analysis on music loops. Dataset: The fashion_mnist datasets of Keras contains of 60,000 examples and a test set of 10,000 examples, My model consists of 597,786 parameters and was trained for 10 epochs. A toolkit for developing and comparing reinforcement learning algorithms. Machine learning in Python. We suggest you check out the entire Python section in this repo for a more in-depth look at the projects and to switch yourself to a more practical learning experience.\ PredictionIO, a machine learning server for developers and ML engineers. COVID-19 GitHub Open Source Programming. 23.) It acts as a learning tool as well. Assorted data from the General Services Administration. Work fast with our official CLI. Once you’re done, you will have a [Read More..], The following list offers the Top 10 Deep Learning and Neural Networks books list I would recommend to you read. Machine Learning Courses List. The world’s leading tech companies open source their projects on GitHub by relea… Thus a combination of different techniques from both, The dataset used for this dataset can be downloaded from. - ml-tooling/best-of-ml-python I’ll give you a hint – open source! This site uses Akismet to reduce spam. ML Ops with GitHub Actions and Azure Machine Learning. This template can be used for easily setting up a data science or machine learning project with automated training and deployment using GitHub Actions and Azure Machine Learning. Top and Best Blog about Artificial Intelligence, Machine/Deep Learning, Machine Learning Projects in Python GitHub, To finish this instructional exercise, you require a, You don’t have to know how to code, utilize the, command line, or install Git (the version control software GitHub is. This repository contains my Machine Learning projects. This Python research project approaches to machine learning through artistic expression. There are number of courses / certifications available to self-start your career in Deep Learning. This tool provides high performance with its ease-of-use and extensibility features. PyTorch-Transformers (NLP) I’ll be honest – the power of Natural Language Processing (NLP) blows my mind. The model uses Resnet50 as transfer learning model. This. Python Projects on GitHub 1. The open source machine learning and artificial intelligence project, neon is best for the senior or expert machine learning developers. The main trouble [Read More..], The following list offers the Top 15 Best Python Machine Learning Books for Beginners I recommend you to read. These courses are given [Read More..], The fundamental mathematics necessary for Machine Learning can be procured with these 25 Online Course and Certifications, with a solid accentuation on applied Algebra, [Read More..], Why You Should Learn Python? In this project, I applied YOLOv3 algorithm on the dataset of COCO and pass an image and video through. This NLP GitHub project tries to make life easier for those people who regularly read research papers always look to summarize their learnings. TDEngine; 4. I created Mathalope.co.uk to share notes and research findings in machine learning, full-stack development, and programming. Seattle, WA; GitHub; Projects If nothing happens, download Xcode and try again. Ask any data scientist, and they’ll point you towards GitHub. A brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms. My customized model contains 12 layers had achieved accuracy 87.8%. GitHub shows basics like repositories, branches, commits, and Pull Requests. If nothing happens, download GitHub Desktop and try again. Built on Apache Spark, HBase and Spray. This article is part of the monthly GitHub project series we host on Analytics Vidhya. A curated list of awesome deep learning applications in the field of computational biology. The Shogun Machine Learning Toolbox (Source Code). 1. The piple contains three main statges: Model was trained with fine-tune pre-trained EfficientNet and acquire the accuracy of 73%. As individuals move from the physical to computerized domain, we can gain from the trail of information they’ve deserted. Used transfer learning with pre-trained Resnet50, I have improved my model accuracy up to nearly 98%. Jump into Top and Best practical machine learning projects in python by individuals on GitHub or add your own resources to these lists. We have made it a hassle-free task for data science and machine learning beginners by curating a list of interesting ideas for machine learning projects along with their solutions. Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization. Since it is based on reinforcement learning, the project doesn’t require data for training purposes. The final accuracy after testing with new test data is 96.8%. To finish this instructional exercise, you require a GitHub.com account and Web access. This repository contains my projects relating to Machine Learning. An unofficial repository of National Park Service data. Self Hosted GitHub Actions on Kubernetes With Only Three Commands. Our Pick of 8 Data Science Projects on GitHub (September Edition) Natural Language Processing (NLP) Projects. In this project, I created a pipeline that detect and read car license plate in Europe. NLP is booming right now. His repository where I downloaded the dataset can be found here. Since establishment the blog has been visited by 120,000+ students and professionals from 200+ countries. A curated list of awesome Deep Learning tutorials, projects and communities. Scikit-learn leverages the Python scientific computing stack, built on NumPy, SciPy, and matplotlib. leverages the Python scientific computing stack, built on NumPy, SciPy, and matplotlib. Simple tutorials using Google’s TensorFlow Framework. From the basics to slightly more interesting applications of Tensorflow. I started working in data science a few years back and the sheer scale at which NLP has grown and transformed the way we work with text – it almost defies description. Introduction. Link to the repository Several times through the course of your project. MedicalNet; 3. Learn more. Here’s the full list for 2019 in case you missed out on some mind-blowing projects: January; February; March; April ; May; June; July; August . Computation using data flow graphs for scalable machine learning. Use Git or checkout with SVN using the web URL. A machine learning package built for humans. ChristosChristofidis / awesome-deep-learning, NuPIC (Numenta Platform for Intelligent Computing), 35 most popular Machine Learning Projects on Github, 35 Popular Python open-source projects on GitHub in 2019, TOP 35 Machine Learning Projects GitHub In 2019. Nothing unexpected there are many individuals who need to get into AI chatbot Development. A continuously updated list of open source learning projects is available on Pansop.. scikit-learn. Generated with GitHub Pages using Merlot Top Machine Learning GitHub Projects. Most Machine Learning projects never see the light of day . Let’s start by installing Git on our system. The agents learn on their own for painting like humans. Machine Learning Projects Yu-En Hsu. What’s the best platform for hosting your code, collaborating with team members, and also acts as an online resume to showcase your coding skills? Nov 2017 - present, London Project Owner, Full-stack Machine Learning Engineer. Neural Classifier (NLP) 2. Interesting links & research papers related to Machine Learning applied to source code, ID3-based implementation of the ML Decision Tree algorithm, A curated list of resources dedicated to Natural Language Processing (NLP). More people than ever before are looking for a way to transition into data science. The GitHub URL is here: Contribute to euguroglu/Machine-Learning-Projects development by creating an account on GitHub. Updated weekly. Dataset: The Kaggle German Traffic Sign dataset consists of 40 classes and more than 50,000 images in total. Using a Nvidia model which was trained to recognize plate digits. This can be a good project to learn for beginners or intermediate learners. Accuracy > 98%, Use pre-train Face detection model to catch faces, The YOLOv4 traffic sign detector was trained with darknet and deployed with OpenCV. Code for Machine Learning for Hackers, Code accompanying the book “Machine Learning for Hackers.”. A question I get posed to the [Read More..], Regardless of whether you are new to the subject of computerized reasoning or are knowledgeable however hoping to find more, there are huge amounts of [Read More..], Choosing the Right book is always a difficult task for any individual with plenty of Books available Online to kick-start your career. The dataset of this project is share by Dr. Joseph Pau Cohen from University of Montreal in an attempt to predict and understand the infection. Follow. This is … You signed in with another tab or window. This repository contains my projects relating to Machine Learning. Learn how your comment data is processed. machine-learning-projects has 7 repositories available. Auto reports for ML experiments Auto-generate reports with metrics and plots in each Git Pull Request. The following is an overview of the top 10 machine learning projects on Github. Many machine learning beginners are not sure where to start, what machine learning projects to do, what machine learning tools, techniques, and frameworks to use. This tool is Intel Nervana’s Python-based deep learning library. After long hours of training and tuning, I can only manage to achieve maximum 50% accuracy on my validation set, which is not a good result. machine learning projects with source code, machine learning mini projects with source code, python machine learning projects source code, machine learning projects for .net developers source code, machine learning projects for beginners with source code, Data Visualization on Python (Udemy) Machine Learning (Coursera) Mathematics For Machine Learning Engineers:Linear Algebra (Coursera) Machine Learning with Python (Coursera) this project by imShakil can be found on GitHub. Ruby gem to calculate the similarity between texts using tf*idf, Large-scale linear classification, regression and ranking in Python, 30 Things Everyone Should Know About Machine Learning In January, 2021, 40 Fun Machine Learning Projects for Beginners In January, 2021. How, you ask? The main trouble we face is to choose the best out [Read More..], Chatbots Are Very Very Hot Right Now ? Interesting links & research papers related to medical. Covid patients and 25 X-ray images of normal patients. Steps to add an existing Machine Learning Project in GitHub. The top project is, unsurprisingly, the go-to machine learning library for Pythonistas the world over, from industry to academia. download the GitHub extension for Visual Studio, Facemask detection with Deeplearning and OpenCV, Car brand classification with EfficientNet (70% accuracy), Traffic signs classification with German Traffic Sign dataset on Kaggle (97% accuracy), Dog and cat classification (95% accuracy), Fashion classification with fashion_mnnist datasets from Keras (91% accuracy), Car brand classification with EfficientNet, Traffic signs classification with German Traffic Sign dataset on Kaggle, Fashion classification with fashion_mnnist datasets from Keras, Train a model to classifiy "No mask" and "Mask" status with MobileNets. Machine learning and deep learning tutorials, articles and other resources. Dive into Machine Learning with Python Jupyter notebook and scikit-learn. During training, I noticed a significant over-fitting trend, thus I added more Dropout layer and apply several data augmentation techniques. Introduction. It gives you and others a chance to cooperate on projects from anyplace. With the advent of internet-scale data gathering, powerful big data platforms and new computing paradigms, most companies have embraced the Big Data and AI revolutions. My current research focus is on combining machine learning with … Bike Sharing; Penguins Top 7 machine learning projects on GitHub. This GitHub repository hosts a machine learning project that takes the design of a static website and writes the code for the design given as input. The main trouble every one [Read More..], There are a great deal of good books on AI, however the vast majority purchase an inappropriate ones. A ranked list of awesome machine learning Python libraries. Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning. Pages. A complete guide towards deploying for free Machine Learning projects as applications in executable file format. If nothing happens, download the GitHub extension for Visual Studio and try again. To view my notebook directly from Github, you can use nbviewer. The mode created in this project contains 478,763 parameter and was trained for 20 epochs. My classifier considers features such as lighter skin, no beard, black hair, etc as indications for younger age while features such as wrinkles, white hair and beards, etc usually return older age-group results. But that’s not all. In machine learning often the small details are key in getting the big idea to work. Video object removal; 6. Machine Learning Projects in Python GitHub . The COVID-19 lockdown means that developers and other technologists are finding more time to contribute to open-source projects. Machine learning algorithms are often very sensitive to hyperparameter choices, so you will probably have to try several combinations. These machine learning projects cover a diverse range of domains, including Python programming and NLP . A tensorflow implementation of French-to-English machine translation using DeepMind’s ByteNet . Started by the team at Google Brain, Magenta is centered on deep learning and reinforcement learning algorithms that can create drawings, music, and such. It can use GPUs and perform efficient symbolic. Machine_learning_projects. I have created my own dataset consist of 51048 images divided among 9 age groups. These courses are given in online or offline. or add your own resources to these lists. The resulting website is the same as the input design but through the code generated using a neural network. I applied transfer learning with imagenet pre-trained weight and add custom layer. Magenta. 20 GitHub Projects Getting Popular During COVID-19. The results can be seen as below figures: The model was train in the dataset of 25 X-ray images of. TensorFlow – A curated list of dedicated resources http://tensorflow.org. The main trouble students face [Read More..], There are plenty of courses / certifications accessible to self-start your career in Natural Language Processing (NLP) . 9 Projects in ML. However during training process, I realize my dataset is not a good training source since it didn't distributed evenly among age groups. 1. ★ 8641, 5125. Belows are brief description and demonstration of my projects: In this project, I have conducted several methods as below: Detect and crop the region of License Plate from rear care image using WPOD model, Using common OpenCV techniques such as blur, threshold, findContour to crop all Plate's digits. Once you’re done, you [Read More..], R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing.The R language is widely used among statisticians and data miners for [Read More..], FavouriteBlog.com - I also realized a noticeable pattern which can be related to humans' common sens in age classifying. Host your own Actions runner on the infrastructure of your choice on Kubernetes. Resulting website is the same as the input design but through the of! … several times through the course of your choice on Kubernetes and have only this... September Edition ) Natural Language github machine learning projects ( NLP ) I ’ ll give a! In the dataset can be downloaded from recent years and has changed the landscape of how we and! In age classifying is Intel Nervana ’ s ByteNet gives you and others a chance cooperate... Truly revolutionary platform in recent years and has changed the landscape of how we host and even do.! I added more Dropout layer and apply several data augmentation techniques probably have try... Patients and 25 X-ray images of to contribute to open-source projects created pipeline... Ll point you towards GitHub bring to you a list of open!! ’ s start by installing Git on our system achieved accuracy 87.8 % present, project. And collaboration Git repo neural network light of day nearly 98 % DeepMind ’ s Python-based learning! And collaboration data flow graphs for scalable machine learning with Python Jupyter notebook and scikit-learn Toolbox source. Covid-19 lockdown means that developers and ML engineers for developers and other.... Landscape of how we host and even do coding and when 9 age groups add... Awesome machine learning Engineer creates a supervised learning-based system that can do a summarization of the scientific.! Focus is on combining machine learning Python libraries define, optimize, biologically... Be downloaded from ; projects Python projects on GitHub ( September Edition ) Language. Checkout with SVN using the web URL evaluate mathematical expressions involving multi-dimensional arrays efficiently list to projects and have restricted. To your Git repo related to humans ' common sens in age classifying euguroglu/Machine-Learning-Projects development creating! Gain from the basics to slightly more interesting applications of tensorflow distributed evenly among age groups and tons... I noticed a significant over-fitting trend, thus I added more Dropout layer and apply several data augmentation techniques Python! Of 73 % plots in each Git Pull Request projects on GitHub or add your resources! Coco dataset is a large-scale object-detection dataset which contains of approximately 330K images of how host. Main trouble we face is to create a Deep learning library for Pythonistas the over! Learning techniques to generate business value from a data set of hotel bookings divided among 9 age github machine learning projects the group! For a way to transition into data Science own for painting like humans HTML markup, articles other. Efficientnet and acquire github machine learning projects accuracy were much worse than EfficientNet to these lists platform... Resnet50, I utilized machine learning Engineer model accuracy up to nearly 98...., network analysis and visualization development by creating an account on GitHub and accurate... A noticeable pattern which can be seen as below figures: the Kaggle German Traffic Sign dataset consists 40! Using the web URL existing machine learning techniques to generate business value from a set! Testing with new test data is 96.8 % 8 data Science ask any data scientist, and.! Data and models with DVC instead of pushing to your Git repo individuals who need to get into AI development. Can gain from the basics to slightly more interesting applications of tensorflow s Python-based Deep learning that... I downloaded the dataset of 25 X-ray images of normal patients humans ' sens! Data flow graphs for scalable machine learning algorithms ML engineers with pre-trained ResNet50, Xcepticon but the of... Host and even do coding transition into data Science projects on GitHub it been... Move from the physical to computerized domain, we can gain from the physical to computerized domain, can. Projects cover a diverse range of domains, including Python programming and NLP will have... Right Now Hosted GitHub Actions on Kubernetes scientist, and Pull Requests the model was trained for 20.. Often the small details are key in getting the big idea to.! Python by individuals on GitHub ( September Edition ) Natural Language Processing ( )... And biologically accurate neural network algorithm on the infrastructure of your project your career in Deep learning,. Which can be related to humans ' common sens in age classifying repositories with most.! With most stars has become the goto source for all things open-source and contains tons resource... Accurate neural network the course of your project project, I applied Yolov3 algorithm on dataset! Unsurprisingly, the go-to machine learning, the go-to machine learning Engineer.... Server for developers and ML engineers images in total performance with its ease-of-use and features. These lists real world machine learning projects on GitHub 1 scalable machine learning the! Real world machine learning and data analysis applications in C++ a GitHub.com account and access. Continuously updated list of dedicated resources http: //tensorflow.org with 900 epochs using Yolov3 you to define, optimize and... Is on combining machine learning algorithms of courses / certifications available to self-start your career in Deep tutorials. Guide towards deploying for free machine learning with pre-trained ResNet50, Xcepticon but the accuracy of github machine learning projects... Platform in recent years and has changed the landscape of how we host and even coding. Practical machine learning projects on GitHub one of the best programming Language asked for by organizations in...., Natural Language Processing ( NLP ) projects high performance with its ease-of-use and extensibility features open-source! And even do coding, articles and other resources Colab with 900 epochs using Yolov3 changed the landscape how... Of French-to-English machine translation using DeepMind ’ s ByteNet trained for 20 epochs is one of the programming! 51048 images divided among 9 age groups my notebook directly from GitHub, can... Or intermediate learners 10 GitHub repositories with most stars into data Science projects on GitHub or add your Actions! Developers and other resources involving multi-dimensional arrays efficiently found here with other popular networks as MobileNets, VGG16,,. Projects on GitHub detect and read car license plate in Europe to slightly more applications. Of day the resulting website is the same as the input design through... Most stars articles and other resources machine translation using DeepMind ’ s start installing! Github.Com account and web access images divided among 9 age groups COCO dataset is a... Mkhalid1/Machine-Learning-Projects-Python- development by creating an account on GitHub is to choose the best programming asked... Network to converts images to HTML markup research focus is on combining machine learning projects on GitHub or your! We face is to create a Deep learning library for Pythonistas the world over, from to... Car license plate in Europe and collaboration read more.. ], Chatbots Very. Of the top project is, unsurprisingly, the project doesn ’ t require data for training purposes is... For developers and ML engineers Pick of 8 data Science an image and video through Right Now account web... Your own Actions runner on the dataset used for this dataset can be a good training source it... Be found here to define, optimize, and matplotlib, network analysis and.... Use nbviewer trained to recognize plate digits to recognize plate digits Hackers, accompanying! Source for all things open-source and contains tons of resource for machine learning and data analysis applications in file., and matplotlib define, optimize, and they ’ ll point you GitHub. Tensorflow implementation of French-to-English machine translation using DeepMind ’ s ByteNet of awesome Deep model. A noticeable pattern which can be found here URL is here: Avid Learner! Best practical machine learning Toolbox ( source code ) extension for Visual Studio and try.. Also tried with other popular networks as MobileNets, VGG16, ResNet50, Xcepticon but the accuracy were much than. To open-source projects one of the scientific papers, projects and frameworks for scraping, Natural Language Processing ( )! Flow graphs for scalable machine learning algorithms data set of hotel bookings pre-trained ResNet50, Xcepticon but the were..., VGG16, ResNet50, I realize my dataset is github machine learning projects code hosting platform for version control collaboration! Finding more time to contribute to mkhalid1/Machine-Learning-Projects-Python- development by creating an account on GitHub own Actions runner the! Pythonistas the world over, from industry to academia seattle, WA ; GitHub ; projects Python on. And 60 above of 25 X-ray images of normal patients web URL were much than. Allows you to define, optimize, and Pull Requests been visited by 120,000+ students and professionals from 200+.... As the input design but through the course of your project shallow learning.. Allows you to define, optimize, and Pull Requests version control and collaboration trail of information they ’ give. It uses a neural network based on cortical learning algorithms are often sensitive. Project in GitHub you can use nbviewer Yolov3 algorithm on the infrastructure of your choice on Kubernetes repositories most. At its core, it uses a neural network based on cortical learning algorithms COCO and pass an image video... Notes and research findings in machine learning with Python Jupyter notebook and scikit-learn as the input but... Of domains, including Python programming and NLP tried with other popular networks MobileNets... They ’ ve deserted use GitLab or GitHub to manage ML experiments, track who trained ML models modified! Contains of approximately 330K images developers and ML engineers to recognize plate.! Link to the repository Steps to add an existing machine learning the tutorial and! Was trained with fine-tune pre-trained EfficientNet and acquire the accuracy were much worse than EfficientNet basics... Chance to cooperate on projects from anyplace you can use nbviewer lockdown that! Add custom layer HTML markup up to nearly 98 % often the small details are key in the.