Stars
🎓 Path to a free self-taught education in Computer Science!
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
CP4 Free Source Code Project (C++17, Java11, Python3 and OCaml)
(Currently in development) Learning pathways for learning Django.
An Open Source Machine Learning Framework for Everyone
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
A curated list of resources for privacy-preserving machine learning
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…
Python 3 Object-Oriented Programming – Third Edition, published by Packt
Perform data science on data that remains in someone else's server
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Notebooks for learning deep learning
Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.
A vision network trained via large-scale multi-task self-supervised learning
A collection of infrastructure and tools for research in neural network interpretability.
A curated list of awesome self-supervised methods