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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Timeseries fastaifastai V2 implementation of Timeseries classification papers.
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ServenetService Classification based on Service Description
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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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Ner BertBERT-NER (nert-bert) with google bert https://github.com/google-research.
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Breast cancer classifierDeep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
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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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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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SimpsonrecognitionDetect and recognize The Simpsons characters using Keras and Faster R-CNN
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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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Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
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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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Transformers TutorialsGithub repo with tutorials to fine tune transformers for diff NLP tasks
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Openml RR package to interface with OpenML
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SelfdrivingcarA collection of all projects pertaining to different layers in the SDC software stack
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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PycaretAn open-source, low-code machine learning library in Python
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Satellite imagery analysisImplementation of different techniques to find insights from the satellite data using Python.
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MapclassifyClassification schemes for choropleth mapping.
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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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Ml Dl ScriptsThe repository provides usefull python scripts for ML and data analysis
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GlassesHigh-quality Neural Networks for Computer Vision 😎
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Traffic SignsBuilding a CNN based traffic signs classifier.
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Mlj.jlA Julia machine learning framework
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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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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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TsaThe Thalesians' Time Series Analysis (TSA) library
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Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
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Personlab Tfimplementation of PersonLab(https://arxiv.org/abs/1803.08225) using TF-slim
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ModelsDLTK Model Zoo
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MltsMachine Learning Toolkit for SEO
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DndtDeep Neural Decision Trees
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K means clusteringThis is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube
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FerFacial Expression Recognition with a deep neural network as a PyPI package
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Storytelling With DataPlots from the book "Storytelling with data" implementation using Python and matplotlib
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Rnn RobinhoodAutomated trading on Robinhood via RNN
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Dl WorkshopMaster gradient-based machine learning. Also secretly a JAX course in disguise!
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Keras Oneclassanomalydetection[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.
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