GlassesHigh-quality Neural Networks for Computer Vision 😎
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PhormaticsUsing A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)
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Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
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MapclassifyClassification schemes for choropleth mapping.
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MdmA TensorFlow implementation of the Mnemonic Descent Method.
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Cascaded FcnSource code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
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Functional ZooPyTorch and Tensorflow functional model definitions
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Mlj.jlA Julia machine learning framework
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Face Mask DetectionFace masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.
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Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
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SelfdrivingcarA collection of all projects pertaining to different layers in the SDC software stack
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Traffic SignsBuilding a CNN based traffic signs classifier.
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Openml RR package to interface with OpenML
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RadioRadIO is a library for data science research of computed tomography imaging
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Timeseries fastaifastai V2 implementation of Timeseries classification papers.
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BIRADS classifierHigh-resolution breast cancer screening with multi-view deep convolutional neural networks
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Transformers TutorialsGithub repo with tutorials to fine tune transformers for diff NLP tasks
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Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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Satellite imagery analysisImplementation of different techniques to find insights from the satellite data using Python.
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Urban Sound ClassificationUrban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)
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ModelsDLTK Model Zoo
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Ml Dl ScriptsThe repository provides usefull python scripts for ML and data analysis
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Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
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Deep HistopathA deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
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SimpsonrecognitionDetect and recognize The Simpsons characters using Keras and Faster R-CNN
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ServenetService Classification based on Service Description
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Robot Surgery SegmentationWining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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Applied Dl 2018Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
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100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
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PycaretAn open-source, low-code machine learning library in Python
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Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
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Azureml BertEnd-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service
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Bayesian Neural NetworksPytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
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Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
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Ner BertBERT-NER (nert-bert) with google bert https://github.com/google-research.
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Silero ModelsSilero Models: pre-trained STT models and benchmarks made embarrassingly simple
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PyradiomicsOpen-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
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