gd-zhang Goto Github PK

a2c

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

acktr

Actor Critic using Kronecker-Factored Trust Region

adversarialvariationalbayes

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

backpack

BACKpropagation PACKage - A backpack for PyTorch that extends the backward pass of feedforward networks to compute quantities beyond the gradient

baselines-1

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

caffe

Caffe: a fast open framework for deep learning.

deep-feature-flow

Deep Feature Flow for Video Recognition

deformable-convnets

Deformable Convolutional Networks

deq

[NeurIPS'19] Deep Equilibrium Models

differentiable-ais

Implementation for DAIS

eigendamage-pytorch

Pytorch implementations of the paper "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis".

follow-the-ridge

Minimax Optimization, Stackelberg Games, Generative Adversarial Networks

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gpflow

customized GPflow with simple tensorflow api

gpflow-slim

customized GPflow with simple Tensorflow API

gpss-research

Kernel structure discovery research code - likely to be unstable

homework

Assignments for CS294-112.

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

iqc-game

Minimax Optimization, Monotone Variational Inequalities

iwae

Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT

jax

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

jax-tutorial

A tutorial on JAX (https://github.com/google/jax/)

kfac

An implementation of KFAC for TensorFlow

neural-tangents

Linearizing Neural Network training.

nng-pytorch

nngeometry

noisy-k-fac

Natural Gradient, Variational Inference

noisy-quadratic-model

Large-batch Training, Neural Network Optimization

noisynaturalgradient

TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC"