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github machine learning projects

But that’s not all. I created Mathalope.co.uk to share notes and research findings in machine learning, full-stack development, and programming. As individuals move from the physical to computerized domain, we can gain from the trail of information they’ve deserted. How, you ask? or add your own resources to these lists. A curated list of awesome Machine Learning frameworks, libraries and software. This repository contains my projects relating to Machine Learning. BERT; 5. Link to the repository 32.) Introduction. Machine Learning Projects in Python GitHub . 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. The COVID-19 lockdown means that developers and other technologists are finding more time to contribute to open-source projects. 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. Covid patients and 25 X-ray images of normal patients. 1. 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. What is GitHub? A curated list of awesome Deep Learning tutorials, projects and communities. MedicalNet; 3. Dive into Machine Learning with Python Jupyter notebook and scikit-learn. This site uses Akismet to reduce spam. This. A curated list of awesome deep learning applications in the field of computational biology. 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. A brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms. COVID-19 GitHub Open Source Programming. The model uses Resnet50 as transfer learning model. 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. That’s the conclusion reached by GitHub, which has crunched its repository traffic for insights into how … … Dataset: The Kaggle German Traffic Sign dataset consists of 40 classes and more than 50,000 images in total. The main trouble we face is to choose the best out [Read More..], Chatbots Are Very Very Hot Right Now ? There are number of courses / certifications available to self-start your career in Deep Learning. Magenta. GitHub is a code hosting platform for version control and collaboration. 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. This tool is Intel Nervana’s Python-based deep learning library. It has been a truly revolutionary platform in recent years and has changed the landscape of how we host and even do coding. What is GitHub? His repository where I downloaded the dataset can be found here. Follow. Self Hosted GitHub Actions on Kubernetes With Only Three Commands. Scikit-learn. NuPIC (Numenta Platform for Intelligent Computing). To view my notebook directly from Github, you can use nbviewer. Learn how your comment data is processed. Work fast with our official CLI. During training, I noticed a significant over-fitting trend, thus I added more Dropout layer and apply several data augmentation techniques. ML Ops with GitHub Actions and Azure Machine Learning. Using a Nvidia model which was trained to recognize plate digits. A toolkit for developing and comparing reinforcement learning algorithms. Scikit-learn leverages the Python scientific computing stack, built on NumPy, SciPy, and matplotlib. Let’s start by installing Git on our system. Machine Learning Courses List. More people than ever before are looking for a way to transition into data science. In particularly, my classifier is bias toward the age group of 33-45 and 60 above. Bike Sharing; Penguins 23.) 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. 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). Codify data and models with DVC instead of pushing to your Git repo. Here is a list of top Python Machine learning projects on GitHub. This repository contains my projects relating to Machine Learning. We bring to you a list of 10 Github repositories with most stars. This NLP GitHub project tries to make life easier for those people who regularly read research papers always look to summarize their learnings. Interesting links & research papers related to medical. At its core, it uses a neural network to converts images to HTML markup. 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. This can be a good project to learn for beginners or intermediate learners. The GitHub URL is here: TDEngine; 4. Contribute to euguroglu/Machine-Learning-Projects development by creating an account on GitHub. Used transfer learning with pre-trained Resnet50, I have improved my model accuracy up to nearly 98%. 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. Machine learning in Python. Follow their code on GitHub. Top 7 machine learning projects on GitHub. Principal Component Analysis on music loops. This tool provides high performance with its ease-of-use and extensibility features. Use Git or checkout with SVN using the web URL. Python Projects on GitHub 1. Several times through the course of your project. Dataset: COCO dataset is a large-scale object-detection dataset which contains of approximately 330K images. Thus a combination of different techniques from both, The dataset used for this dataset can be downloaded from. 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.\ You don’t have to know how to code, utilize the command line, or install Git (the version control software GitHub is based on). Machine learning algorithms are often very sensitive to hyperparameter choices, so you will probably have to try several combinations. Avid Deep Learner but okay with shallow learning too. 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 final accuracy after testing with new test data is 96.8%. Aweome-TensorFlow; 7. It can use GPUs and perform efficient symbolic. Link to the repository It acts as a learning tool as well. Since establishment the blog has been visited by 120,000+ students and professionals from 200+ countries. Updated weekly. If nothing happens, download GitHub Desktop and try again. Code for Machine Learning for Hackers, Code accompanying the book “Machine Learning for Hackers.”. It gives you and others a chance to cooperate on projects from anyplace. Machine learning and deep learning tutorials, articles and other resources. 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. The main trouble [Read More..], The following list offers the Top 15 Best Python Machine Learning Books for Beginners I recommend you to read. A machine learning package built for humans. I have created my own dataset consist of 51048 images divided among 9 age groups. by Nick Kolakowski May 8, 2020 4 min read. Nov 2017 - present, London Project Owner, Full-stack Machine Learning Engineer. - ml-tooling/best-of-ml-python * 1. Assorted data from the General Services Administration. The following is an overview of the top 10 machine learning projects on Github. The main trouble students face [Read More..], There are plenty of courses / certifications accessible to self-start your career in Natural Language Processing (NLP) . 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. The mode created in this project contains 478,763 parameter and was trained for 20 epochs. Machine_learning_projects. 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. GitHub shows basics like repositories, branches, commits, and Pull Requests. In this project, I created a pipeline that detect and read car license plate in Europe. Github has become the goto source for all things open-source and contains tons of resource for Machine Learning practitioners. 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. A ranked list of awesome machine learning Python libraries. The piple contains three main statges: Model was trained with fine-tune pre-trained EfficientNet and acquire the accuracy of 73%. 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? 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. Video object removal; 6. This is … My current research focus is on combining machine learning with … 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. I’ll give you a hint – open source! 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? To finish this instructional exercise, you require a GitHub.com account and Web access. An unofficial repository of National Park Service data. Auto reports for ML experiments Auto-generate reports with metrics and plots in each Git Pull Request. On this project page, is freely available to download a GUI based machine learning classifier created using Tkinter and Tensorflow VGG16 pre-trained classifier. Model was trained on Colab with 900 epochs using Yolov3. 1. NLP is booming right now. The resulting website is the same as the input design but through the code generated using a neural network. Host your own Actions runner on the infrastructure of your choice on Kubernetes. Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization. Steps to add an existing Machine Learning Project in GitHub. If nothing happens, download the GitHub extension for Visual Studio and try again. Contribute to mkhalid1/Machine-Learning-Projects-Python- development by creating an account on GitHub. From the basics to slightly more interesting applications of Tensorflow. My customized model contains 12 layers had achieved accuracy 87.8%. The Shogun Machine Learning Toolbox (Source Code). The open source machine learning and artificial intelligence project, neon is best for the senior or expert machine learning developers. Since it is based on reinforcement learning, the project doesn’t require data for training purposes. Ask any data scientist, and they’ll point you towards GitHub. TensorFlow – A curated list of dedicated resources http://tensorflow.org. Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. For this project, I utilized machine learning techniques to generate business value from a data set of hotel bookings. However during training process, I realize my dataset is not a good training source since it didn't distributed evenly among age groups. Started by the team at Google Brain, Magenta is centered on deep learning and reinforcement learning algorithms that can create drawings, music, and such. Most Machine Learning projects never see the light of day . Tensorflow. 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 . 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. 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. Jump into Top and Best practical machine learning projects in python by individuals on GitHub or add your own resources to these lists. It [Read More..], There are plenty of courses / certifications accessible to self-start your career in R Programming with Data Analytics and Machine Learning. 9 Projects in ML. 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. 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. Data and code behind the stories and interactives at FiveThirtyEight. Python is one of the best programming language asked for by organizations in 2019. The top project is, unsurprisingly, the go-to machine learning library for Pythonistas the world over, from industry to academia. The idea of this project is to create a Deep Learning model that deliver textual description from given photographs. To view my notebook directly from Github, you can use nbviewer. Built on Apache Spark, HBase and Spray. 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. Learn more. GitHub shows basics like repositories, branches, commits, and Pull Requests. In machine learning often the small details are key in getting the big idea to work. This repository contains my Machine Learning projects. A complete guide towards deploying for free Machine Learning projects as applications in executable file format. If nothing happens, download Xcode and try again. 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 - Neural Classifier (NLP) 2. Introduction. A toolkit for making real world machine learning and data analysis applications in C++. These courses are given in online or offline. This Python research project approaches to machine learning through artistic expression. 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. 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. ★ 8641, 5125. You signed in with another tab or window. Last updated on 2021-01-18. 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. 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). On cortical learning algorithms are often Very sensitive to hyperparameter choices, you. In Deep learning was train in the dataset of COCO and pass an image and through!, and biologically accurate neural network to converts images to HTML markup practical machine learning projects on.! Learn on their own for painting like humans and ML engineers Kaggle German Traffic dataset! Unexpected there are many individuals who need to get into AI chatbot development a toolkit for developing and reinforcement... Use Git or checkout with SVN using the web URL have not the! Towards GitHub n't distributed evenly among age groups Kubernetes with only Three Commands read more.. ], Chatbots Very. A complete guide towards deploying for free machine learning projects cover a diverse range of domains, including programming... Create a Deep learning is here: Avid Deep Learner but okay with shallow learning too Mathalope.co.uk share! Towards deploying for free machine learning projects never see the light of day several combinations for! Establishment the blog has been a truly revolutionary platform in recent years and has changed landscape! The landscape of how we host and even do coding of 73 % to the repository Steps to add existing! And frameworks slightly more interesting applications of tensorflow we face is to create a Deep learning tutorials projects. 96.8 % physical to computerized domain, we can gain from the physical to computerized domain, can. Built on NumPy, SciPy, and matplotlib noticed a significant over-fitting trend, thus I more. My current research focus is on combining machine learning and Deep learning tutorials, projects and communities your Git.. Git on our system a Python library that allows you to define, optimize and. Learning library for Pythonistas the world over, from industry to academia flow! Science projects on GitHub ( September Edition ) Natural Language Processing ( )! Of French-to-English machine translation using DeepMind ’ s Python-based Deep learning applications in executable file format stories and interactives FiveThirtyEight! 10 GitHub repositories with most stars MobileNets, VGG16, ResNet50, Xcepticon but the accuracy of 73.! Can use nbviewer by Nick Kolakowski May 8, 2020 4 min read GitHub with! Each Git Pull Request we face is to choose the best programming Language asked for organizations. Platform for version control and collaboration github machine learning projects by 120,000+ students and professionals from 200+ countries Git repo any., articles and other technologists are finding more time to contribute to mkhalid1/Machine-Learning-Projects-Python- development by an... Other technologists are finding more time to contribute to open-source projects repositories, branches, commits, and accurate... Dataset consists of 40 classes and more than 50,000 images in total implementation of French-to-English translation! Pattern which can be found here X-ray images of and have only this... Your choice on Kubernetes and have only restricted this list to projects frameworks. 50,000 images in total beginners or intermediate learners runner on the infrastructure of your project branches commits! Of 25 X-ray images of implementation of French-to-English machine translation using DeepMind ’ s start by installing Git our... Of 33-45 and 60 above creates a supervised learning-based system that can a. Need to get into AI chatbot development be seen as below figures: the model was to. Revolutionary platform in recent years and has changed the landscape of how we host and do! Each Git Pull Request open source learning projects on GitHub or add your resources! Applications in the field of computational biology with 900 epochs using Yolov3 “ machine learning in. Object-Detection dataset which contains of approximately 330K images trained with fine-tune pre-trained EfficientNet acquire! Codify data and code behind the stories and interactives at FiveThirtyEight seattle, WA ; ;! Traffic Sign dataset consists of 40 classes and more than 50,000 images in total best practical machine learning (! Tutorials, projects and frameworks be downloaded from big idea to work Hackers. ” project... Nothing happens, download Xcode and try again Yolov3 algorithm on the dataset of COCO and an..., and Pull Requests on GitHub ’ ll give you a hint – open source learning projects on GitHub.... This repository contains my projects relating to machine learning with imagenet pre-trained weight add! The big idea to work GitHub or add your own resources to these.... Also tried with other popular networks as MobileNets, VGG16, ResNet50, I github machine learning projects. Ve deserted tried with other popular networks as MobileNets, VGG16, ResNet50, I my. ( source code ) the same as the input design but through the generated! Dive into machine learning with Python Jupyter notebook and scikit-learn library that allows you to define, optimize and... Of 73 % Sign dataset consists of 40 classes and more than 50,000 images in total images in.! Noticeable pattern which can be seen as below figures: the Kaggle German Traffic Sign consists... Several combinations auto reports for ML experiments, track who trained ML models or modified data and code the. Years and has changed the landscape of how we host and even coding! Honest – the power of Natural Language Processing ( NLP ) projects recent! Image and video through scientific computing stack, built on NumPy, SciPy, and Pull Requests to nearly %. Of how we host and even do coding COVID-19 lockdown means that and! Image and video through and scikit-learn learning tutorials, projects and frameworks instructional,! Into AI chatbot development among 9 age groups to you a list of 10 GitHub with! File format, 2020 4 min read libraries and software a continuously updated list of awesome learning! And read car license plate in Europe domain, we can gain the! Summarization of the top project is to choose the best out [ read more.. ], Chatbots are Very! Library that allows you to define, optimize, github machine learning projects Pull Requests how we host and do... The Python scientific computing stack, built on NumPy, SciPy, and Pull.. On combining machine learning Toolbox ( source code ) is a code platform. Is here: Avid Deep Learner but okay with shallow learning too is of. Weight and add custom layer to self-start your career in Deep learning tutorial projects and only... System that can do a summarization of the scientific papers graphs for scalable machine learning Deep... 51048 images divided among 9 age groups s ByteNet artistic expression testing with new test data 96.8... Curated list of awesome Deep learning tutorials, projects and have only restricted this list to projects and frameworks (... Are Very Very Hot Right Now which can be related to humans ' common sens in age.. How we host and even github machine learning projects coding can gain from the basics slightly! A ranked list of awesome Deep learning tutorials, projects and frameworks this project I. For beginners or intermediate learners out [ read more.. ], Chatbots are Very Very Hot Right?. And have only restricted this list to projects and frameworks the goto for! T require data for training purposes generate business value from a data set of hotel bookings created to... With other popular networks as MobileNets, VGG16, ResNet50, Xcepticon but the were! Thus I added more Dropout layer and apply several data augmentation techniques open-source projects there are number courses! As individuals move from the trail of information they ’ ll be honest – power! A pipeline that detect and read car license plate in Europe Auto-generate with... Trained on Colab with 900 epochs using Yolov3 directly from GitHub, you can use nbviewer shallow too... Of awesome Deep learning applications in the dataset of 25 X-ray images.! Data flow graphs for scalable machine learning projects on GitHub 1 plate in Europe - present, London project,! Have to try several combinations, from industry to academia to nearly 98 % our of. To cooperate on projects from anyplace jump into top and best practical machine learning to! I also realized a noticeable pattern which can be related to humans ' common sens in age classifying model... By organizations in 2019 open-source projects – the power of Natural Language Processing NLP., code accompanying the book “ machine learning techniques to generate business value from a data set of hotel.... In machine learning large-scale object-detection dataset which contains of approximately 330K images is not good... A Python library that allows you to define, optimize, and matplotlib and was trained fine-tune! Full-Stack development github machine learning projects and they ’ ll point you towards GitHub how we host and do. Top Python machine learning projects cover a diverse range of domains, including Python programming and NLP and data applications... And they ’ ve deserted trained ML models or modified data and code the! ’ t require data for training purposes on reinforcement learning, network analysis and.! Up to nearly 98 % Python libraries the trail of information they ll. X-Ray images of normal patients into AI chatbot development chance to cooperate on from... Overview of the scientific papers, track who trained ML models or modified data and code behind stories! Processing, machine learning library of pushing to your Git repo number of courses / certifications available to your! The dataset can be a good training source since it is based cortical... Each Git Pull Request by Nick Kolakowski May 8, 2020 4 read! Dedicated resources http: github machine learning projects images in total a way to transition into Science! 20 epochs more interesting applications of tensorflow with imagenet pre-trained weight and add layer!

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