Sheng-J

Sheng-J's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python135k1.1k16.2k27.1k

• chrislgarry/Apollo-11

  Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

  Language:Assembly59.6k1.3k3817k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.4k7541.3k7.9k

• openai/gpt-2

  Code for the paper "Language Models are Unsupervised Multitask Learners"

  Language:Python22.6k6332665.5k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.2k2271222.9k

• google/dopamine

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  Language:Jupyter Notebook10.6k4251701.4k

• ShangtongZhang/DeepRL

  Modularized Implementation of Deep RL Algorithms in PyTorch

  Language:Python3.2k8992684

• rail-berkeley/rlkit

  Collection of reinforcement learning algorithms

  Language:Python2.5k61131554

• astooke/rlpyt

  Reinforcement Learning in PyTorch

  Language:Python2.2k52169324

• google/gin-config

  Gin provides a lightweight configuration framework for Python

  Language:Python2.1k2187113

• lucidrains/byol-pytorch

  Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

  Language:Python1.8k2582250

• omerbsezer/Reinforcement_learning_tutorial_with_demo

  Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

  Language:Jupyter Notebook734260170

• ermongroup/ncsn

  Noise Conditional Score Networks (NeurIPS 2019, Oral)

  Language:Python68091198

• f-dangel/backpack

  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

  Language:Python56268256

• wgrathwohl/JEM

  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

  Language:Python417151163

• WilsonWangTHU/mbbl

  Language:Python38916868

• lrjconan/LanczosNetwork

  Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

  Language:Python31181066

• uber-research/ape-x

  This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"

  Language:Python18911622

• unixpickle/anyrl-py

  A reinforcement learning framework

  Language:Python154143322

• Spijkervet/BYOL

  Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

  Language:Python1296925

• WilsonWangTHU/POPLIN

  Language:Python974213

• RLAgent/state-marginal-matching

  Efficient Exploration via State Marginal Matching (2019)

  Language:Python665012

• rosinality/igebm-pytorch

  Implicit Generation and Generalization in Energy Based Models in PyTorch

  Language:Python655313

• gvanderheide/discreteMarkovChain

  Calculate the steady state distribution of a discrete Markov chain in Python.

  Language:Python454811

• WilsonWangTHU/neural_graph_evolution

  Language:Python452411

• kayuksel/pytorch-ars

  PyTorch Implementations of Augmented Random Search

  Language:Python18411

• abbyvansoest/maxent_base

  Language:Python7100