rainwangphy Goto Github PK

eb_gfn

Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"

efficientzero

Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

ensemble_distr_distillation

eurace_unibi

This is the repository for the source code of the Eurace@Unibi Model

evograd

Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"

ewc.pytorch

An implementation of EWC with PyTorch

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

fenics-drl

Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.

ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

finqa

Data and code for EMNLP 2021 paper "FinQA: A Dataset of Numerical Reasoning over Financial Data"

fqf-iqn-qrdqn.pytorch

A PyTorch implementation of FQF, IQN and QR-DQN.

fs-mol

FS-Mol is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluation benchmark which aims to drive few-shot learning research in the domain of molecules and graph-structured data.

gane

GANE: A Generative Adversarial Network Embedding

garage

A toolkit for reproducible reinforcement learning research

generalized_dt

"Generalized Decision Transformer for Offline Hindsight Information Matching" (https://arxiv.org/abs/2111.10364)

gmfg-learning

This repository is the official implementation of Learning Graphon Mean Field Games and Approximate Nash Equilibria.

gnn-min-example

A minimum implementation of a Graph Neural Network operating on a edge-weighted directed graph.

gnss-r-ddm-simulator

google-research

Google Research

gpt-code-clippy

Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57

graph2nn

code for paper "Graph Structure of Neural Networks"

graphgan-pytorch

(Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55

graphgan-pytorch-1

group-conditional-dro

Group-conditional DRO to alleviate spurious correlations

gtml

gtml.github.io

Group Theory for Machine Learning

gym-city

An interface with micropolis for city-building agents, packaged as an OpenAI gym environment

gym-cube

Open AI gym for Rubik's cube

hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

hierarchical-actor-critc-hac-

This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.