jason-huh

jason-huh's Stars

• thoughtbot/dotfiles

  A set of vim, zsh, git, and tmux configuration files.

  Language:Shell8k1.9k

• borglab/gtsam

  GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

  Language:C++2.7k776

• gisbi-kim/modern-slam-tutorial-python

  learning and feeling SLAM together with hands-on-experiments

  Language:Jupyter Notebook8714

• weisongwen/GraphGNSSLib

  An Open-source Package for GNSS Positioning and Real-time Kinematic Using Factor Graph Optimization

  Language:C496134

• AtsushiSakai/PythonRobotics

  Python sample codes for robotics algorithms.

  Language:Python23.6k6.6k

• Kchu/DeepRL_PyTorch

  Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

  Language:Python20531

• facebook/infer

  A static analyzer for Java, C, C++, and Objective-C

  Language:OCaml15k2k

• BY571/CQL

  PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

  Language:Python12724

• berkeleydeeprlcourse/homework

  Assignments for CS294-112.

  Language:Python1.6k1k

• aviralkumar2907/CQL

  Code for conservative Q-learning

  Language:Python41270

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python34.5k5.9k

• berkeleydeeprlcourse/homework_fall2021

  Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

  Language:Jupyter Notebook146146

• openai/gym

  A toolkit for developing and comparing reinforcement learning algorithms.

  Language:Python35k8.6k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python14.6k1.4k

• jaketae/koclip

  KoCLIP: Korean port of OpenAI CLIP, in Flax

  Language:Python14517

• microsoft/Megatron-DeepSpeed

  Ongoing research training transformer language models at scale, including: BERT & GPT-2

  Language:Python1.9k343

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python35.9k4.2k

• EleutherAI/gpt-neox

  An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

  Language:Python7k1k

• hyunwoongko/openchat

  OpenChat: Easy to use opensource chatting framework via neural networks

  Language:Python43857

• EmYassir/gpt2_compression

  GPT2 compression

  Language:Python21

• openai/DALL-E

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

  Language:Python10.8k1.9k

• openai/dalle-2-preview

  1k128

• microsoft/fastformers

  FastFormers - highly efficient transformer models for NLU

  Language:Python70153

• timoschick/pet

  This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

  Language:Python1.6k282

• NVlabs/stylegan3

  Official PyTorch implementation of StyleGAN3

  Language:Python6.5k1.1k

• THUDM/P-tuning

  A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

  Language:Python926111

• openai/gpt-2

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

  Language:Python22.6k5.5k

• affjljoo3581/GPT2

  PyTorch Implementation of OpenAI GPT-2

  Language:Python29658

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.4k2.6k

• Pusnow/dinv

  Docker in VM

  Language:Shell51