JumpingRain

JumpingRain's Stars

• lmarena/arena-hard-auto

  Arena-Hard-Auto: An automatic LLM benchmark.

  Language:Jupyter Notebook43061

• AIDC-AI/Ovis

  A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.

  Language:Python36019

• mubasharaak/ChartCheck

  Language:Jupyter Notebook8

• alibaba/ChatLearn

  Language:Python15211

• lm-sys/FastChat

  An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

  Language:Python36.6k4.5k

• WildVision-AI/WildVision-Bench

  Language:Python4

• OpenGVLab/all-seeing

  [ICLR 2024 & ECCV 2024] The All-Seeing Projects: Towards Panoptic Visual Recognition&Understanding and General Relation Comprehension of the Open World"

  Language:Python44814

• ohmyzsh/ohmyzsh

  🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.

  Language:Shell173k25.9k

• AIDC-AI/Parrot

  🎉 The code repository for "Parrot: Multilingual Visual Instruction Tuning" in PyTorch.

  Language:Python261

• FreedomIntelligence/ALLaVA

  Harnessing 1.4M GPT4V-synthesized Data for A Lite Vision-Language Model

  Language:Python2398

• vis-nlp/ChartInstruct

  Language:Jupyter Notebook161

• vis-nlp/UniChart

  Language:Python599

• machine-intelligence-laboratory/DDI-100

  Distorted Document Images dataset (DDI-100).

  Language:Python12616

• khuangaf/Awesome-Chart-Understanding

  A curated list of recent and past chart understanding work based on our survey paper: From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models.

  14914

• furkanbiten/idl_data

  OCR Annotations from Amazon Textract for Industry Documents Library

  Language:Python996

• maitrix-org/Pandora

  Pandora: Towards General World Model with Natural Language Actions and Video States

  Language:Python46633

• esbatmop/MNBVC

  MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化，也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。

  3.4k233

• XueFuzhao/OpenMoE

  A family of open-sourced Mixture-of-Experts (MoE) Large Language Models

  Language:Python1.4k70

• JAEarly/MILTimeSeriesClassification

  Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)

  Language:Jupyter Notebook358

• llm-efficiency-challenge/neurips_llm_efficiency_challenge

  NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day

  Language:Python24856

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook12k1.8k

• OpenLMLab/MOSS-RLHF

  MOSS-RLHF

  Language:Python1.3k98

• thunlp/WebCPM

  Official codes for ACL 2023 paper "WebCPM: Interactive Web Search for Chinese Long-form Question Answering"

  Language:HTML97680

• l294265421/alpaca-rlhf

  Finetuning LLaMA with RLHF (Reinforcement Learning with Human Feedback) based on DeepSpeed Chat

  Language:Python10613

• yanqiangmiffy/NLP-Interview-Notes

  :books: 专门为自然语言处理(NLP)面试准备的学习笔记与资料

  Language:Jupyter Notebook34148

• microsoft/DeepSpeedExamples

  Example models using DeepSpeed

  Language:Python6k1k

• microsoft/semantic-kernel

  Integrate cutting-edge LLM technology quickly and easily into your apps

  Language:C#21.5k3.2k

• huggingface/transformers

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

  Language:Python133k26.5k

• open-mmlab/mmpretrain

  OpenMMLab Pre-training Toolbox and Benchmark

  Language:Python3.4k1.1k

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook93.1k15k