vshanyiao

vshanyiao's Stars

• hollance/BlazeFace-PyTorch

  The BlazeFace face detector model implemented in PyTorch

  Language:Jupyter Notebook42990

• THUDM/ChatGLM3

  ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

  Language:Python13.4k1.6k

• FlowiseAI/Flowise

  Drag & drop UI to build your customized LLM flow

  Language:TypeScript31.1k16.2k

• microsoft/autogen

  A programming framework for agentic AI 🤖

  Language:Jupyter Notebook32.5k4.7k

• OpenBMB/XAgent

  An Autonomous LLM Agent for Complex Task Solving

  Language:Python8.1k834

• SkyworkAI/Skywork

  Skywork series models are pre-trained on 3.2TB of high-quality multilingual (mainly Chinese and English) and code data. We have open-sourced the model, training data, evaluation data, evaluation methods, etc. 天工系列模型在3.2TB高质量多语言和代码数据上进行预训练。我们开源了模型参数，训练数据，评估数据，评估方法。

  Language:Python1.2k111

• yizhongw/self-instruct

  Aligning pretrained language models with instruction data generated by themselves.

  Language:Python4.1k487

• h2oai/h2o-llmstudio

  H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

  Language:Python4k417

• Plachtaa/VALL-E-X

  An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/

  Language:Python7.7k761

• mzbac/wizardCoder-vsc

  Visual Studio Code extension for WizardCoder

  Language:TypeScript14512

• arc53/DocsGPT

  Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge sharing and integrates knowledge into your AI workflow

  Language:Python15k1.6k

• trholding/llama2.c

  Llama 2 Everywhere (L2E)

  Language:C1.5k42

• mit-han-lab/streaming-llm

  [ICLR 2024] Efficient Streaming Language Models with Attention Sinks

  Language:Python6.6k363

• MetaGLM/FinGLM

  FinGLM: 致力于构建一个开放的、公益的、持久的金融大模型项目，利用开源开放来促进「AI+金融」。

  Language:HTML1.8k266

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python20k2.2k

• microsoft/semantic-kernel

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

  Language:C#21.8k3.2k

• eosphoros-ai/DB-GPT

  AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

  Language:Python13.6k1.8k

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python29.5k4.4k

• triton-inference-server/server

  The Triton Inference Server provides an optimized cloud and edge inferencing solution.

  Language:Python8.3k1.5k

• bitsandbytes-foundation/bitsandbytes

  Accessible large language models via k-bit quantization for PyTorch.

  Language:Python6.2k624

• yeyupiaoling/Whisper-Finetune

  Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployment, Windows desktop deployment, and Android deployment

  Language:C866143

• OpenNMT/CTranslate2

  Fast inference engine for Transformer models

  Language:C++3.4k299

• AutoGPTQ/AutoGPTQ

  An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

  Language:Python4.5k477

• SUFE-AIFLM-Lab/FinEval

  FinEval是一个中文金融领域高质量多项选择与文本问答题的集合。

  Language:Python16010

• turboderp/exllamav2

  A fast inference library for running LLMs locally on modern consumer-class GPUs

  Language:Python3.6k279

• thu-coai/Safety-Prompts

  Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts，用于评估和提升大模型的安全性。

  86481

• X-PLUG/CValues

  面向中文大模型价值观的评估与对齐研究

  Language:Python47220

• FasterDecoding/Medusa

  Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

  Language:Jupyter Notebook2.3k154

• OpenInterpreter/open-interpreter

  A natural language interface for computers

  Language:Python54.8k4.8k

• HqWu-HITCS/Awesome-Chinese-LLM

  整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

  15.8k1.5k