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addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

alibi

Algorithms for monitoring and explaining machine learning models

analysis_codes

animated-broccoli

cfai

A collection of algorithms of counterfactual explanations.

dall-e

PyTorch package for the discrete VAE used for DALL·E.

disentangling-robustness-generalization

CVPR'19 experiments with (on-manifold) adversarial examples.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

memcnn

PyTorch Framework for Developing Memory Efficient Deep Invertible Networks

mlpractical

Machine Learning Practical course repository

neural-networks

protopnet

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations

score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations

sensitive-subspace-robustness

symbolic-metamodeling

Code for the NeurIPS 2019 paper: "Demystifying Black-box Models with Symbolic Metamodels", by A. M. Alaa and M. van der Schaar.

taming-transformers

tutorials

PyTorch tutorials.

unsupervised-classification

SCAN: Learning to Classify Images without Labels (ECCV 2020)