The fastai deep learning library

A game theoretic approach to explain the output of any machine learning model.

This repository contains implementations and illustrative code to accompany DeepMind publications

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

YSDA course in Natural Language Processing

Visualizations for machine learning datasets

Google Brain AutoML

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Reference models and tools for Cloud TPUs.

A collection of infrastructure and tools for research in neural network interpretability.

Repository for benchmarking graph neural networks (JMLR 2023)

Code for Stanford CS224u

A Toolbox for Adversarial Robustness Research

Object Detection

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

Devkit for the public 2019 Lyft Level 5 AV Dataset (fork of https://github.com/nutonomy/nuscenes-devkit)

Source Code for Machine Learning in Action for Python 3.X

Siamese Mask R-CNN model for one-shot instance segmentation

an numpy-based implement of PointRend

Dreem One Shot Detector

CS231n: Convolutional Neural Networks for Visual Recognition