mcgrady20150318

OpenLT

An open-source project for long-tail classification

calibration-framework

The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.

BMInf

Efficient Inference for Big Models

PINNpapers

Must-read Papers on Physics-Informed Neural Networks.

CPM-1-Pretrain

Pretrain CPM-1

DeepSpeedExamples

Example models using DeepSpeed

TextBrewer

A PyTorch-based knowledge distillation toolkit for natural language processing

torchgpipe

A GPipe implementation in PyTorch

idrlnet

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

PLMpapers

Must-read Papers on pre-trained language models.

supervised_layout_benchmark

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

implicit-variational-inference

The collection of recent papers about variational inference

bdl-benchmarks

Bayesian Deep Learning Benchmarks

tinyflow

Tutorial code on how to build your own Deep Learning System in 2k Lines

Brancher

A user-centered Python package for differentiable probabilistic inference

garage

A toolkit for reproducible reinforcement learning research.

football

Check out the new game server:

gym

A toolkit for developing and comparing reinforcement learning algorithms.

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

pysgmcmc

Bayesian Deep Learning with Stochastic Gradient MCMC Methods

jax

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

Bayesian-Adversarial-Learning

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

ML-SGHMC

Experiment code for Stochastic Gradient Hamiltonian Monte Carlo

sampyl

MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice

mcmc-demo

Interactive Markov-chain Monte Carlo Javascript demos

sgmcmc

sgmcmc: a stochastic gradient MCMC package for R