Google Brain AutoML

Best Practices, code samples, and documentation for Computer Vision.

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

A curated list of awesome self-supervised methods

Bayesian Deep Learning Benchmarks

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.

Pretrained models for TensorFlow.js

Debugging, monitoring and visualization for Python Machine Learning and Data Science

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

A library for Multilingual Unsupervised or Supervised word Embeddings

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Learn how to design, develop, deploy and iterate on production-grade ML applications.