YH's repositories
gcp-mig-github-action-runner
Github Actions Runner on Google Cloud MIG
accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
alpaca_farm
A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
BioBridge
ICLR'24 | BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
HumanoidAgents
Humanoid Agents: Platform for Simulating Human-like Generative Agents
InternGPT
InternGPT / InternChat allows you to interact with ChatGPT by clicking, dragging and drawing using a pointing device.
langchain
🦜🔗 Build context-aware reasoning applications
LAVIS
LAVIS - A One-stop Library for Language-Vision Intelligence
LOMO
LOMO: LOw-Memory Optimization
LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
ml-engineering
Machine Learning Engineering Open Book
mmdeploy
OpenMMLab Model Deployment Framework
mmengine
OpenMMLab Foundational Library for Training Deep Learning Models
Modern-CPP-Programming
Modern C++ Programming Course (C++11/14/17/20/23)
mpire
A Python package for easy multiprocessing, but faster than multiprocessing
multimodal
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
OpenRLHF
A Ray-based High-performance RLHF framework (for large models)
oslo
OSLO: Open Source for Large-scale Optimization
Pearl
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
tensor_parallel
Automatically split your PyTorch models on multiple GPUs for training & inference
tiny-gpu
A minimal GPU design in Verilog to learn how GPUs work from the ground up
torchtune
A Native-PyTorch Library for LLM Fine-tuning
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
X-Decoder
[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language