kangreen0210

kangreen0210's Stars

• kangreen0210/LIME

  Accelerating the development of large multimodal models (LMMs) with lmms-eval

  Language:Python141

• multimodal-art-projection/DailyPaper

  Language:HTML52

• KOR-Bench/KOR-Bench

  Language:Python12

• Open-Source-O1/o1_Reasoning_Patterns_Study

  Language:Python966

• Open-Source-O1/Open-O1

  Language:Python1.1k41

• kangreen0210/LIME-rebuttal

  Language:Python1

• Wusiwei0410/MMRA

  Language:Python9

• multimodal-art-projection/MAP-NEO

  Language:Python89984

• TIGER-AI-Lab/Mantis

  Official code for Paper "Mantis: Multi-Image Instruction Tuning" (TMLR2024)

  Language:Python19215

• 01-ai/Yi

  A series of large language models trained from scratch by developers @01-ai

  Language:Jupyter Notebook7.8k491

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python37.5k4.6k

• allenai/unified-io-2

  Language:Python58527

• nerdyrodent/VQGAN-CLIP

  Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

  Language:Python2.6k426

• salesforce/BLIP

  PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

  Language:Jupyter Notebook4.9k659

• togethercomputer/RedPajama-Data

  The RedPajama-Data repository contains code for preparing large datasets for training large language models.

  Language:Python4.6k348

• TIGER-AI-Lab/UniIR

  Official code for paper "UniIR: Training and Benchmarking Universal Multimodal Information Retrievers" (ECCV 2024)

  Language:Python11912

• NVIDIA/Megatron-LM

  Ongoing research training transformer models at scale

  Language:Python11k2.5k

• liguodongiot/llm-action

  本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

  Language:HTML12.7k1.4k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.5k9.6k

• tloen/alpaca-lora

  Instruct-tune LLaMA on consumer hardware

  Language:Jupyter Notebook18.7k2.2k

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.7k4.1k

• tencent-ailab/tleague_projpage

  Language:Jinja13917

• Farama-Foundation/MicroRTS-Py

  A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)

  Language:Python23646

• vwxyzjn/gym-microrts-paper

  The source code for the gym-microrts paper.

  Language:Python423

• wuhuikai/MSC

  MSC: A Dataset for Macro-Management in StarCraft II

  Language:Python13833

• oxwhirl/smac

  SMAC: The StarCraft Multi-Agent Challenge

  Language:Python1.1k230

• ClausewitzCPU0/SC2AI

  星际2 AI中文教程 StarCraft2 AI with python-sc2/pysc2 API

  Language:Python22945