veryhannibal

veryhannibal's Stars

• Rosevil1874/LeetCode-Solution-Python-Java

  solution of LeetCode by Python & Java

  Language:Python4917

• TAG-Research/lotus

  LOTUS: The semantic query engine - process data with LLMs as easily as writing pandas code

  Language:Python39836

• xianshang33/llm-paper-daily

  Daily updated LLM papers. 每日更新 LLM 相关的论文，欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个

  96640

• hymie122/RAG-Survey

  Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

  1.2k86

• gomate-community/awesome-papers-for-rag

  A curated list of resources dedicated to retrieval-augmented generation (RAG).

  Language:Python676

• vearch/vearch

  Distributed vector search for AI-native applications

  Language:Go2.1k331

• langfuse/langfuse

  🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

  Language:TypeScript6.2k603

• RasaHQ/rasa

  💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

  Language:Python18.9k4.6k

• yongzhuo/qwen2-sft

  Qwen1.5-SFT(阿里, Ali), Qwen_Qwen1.5-2B-Chat/Qwen_Qwen1.5-7B-Chat微调(transformers)/LORA(peft)/推理

  Language:Python434

• yangjianxin1/Firefly

  Firefly: 大模型训练工具，支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

  Language:Python5.8k525

• DjangoPeng/LLM-quickstart

  Quick Start for Large Language Models (Theoretical Learning and Practical Fine-tuning) 大语言模型快速入门（理论学习与微调实战）

  Language:Jupyter Notebook513359

• kebijuelun/Awesome-LLM-Learning

  Learning Large Language Model (LLM）(大语言模型学习)

  Language:Python31637

• zaunist/apisix-on-kubernetes

  Some sample yaml for deploying apisix on kubernetes

  2829

• conda-forge/miniforge

  A conda-forge distribution.

  Language:Shell6.4k326

• infiniflow/ragflow

  RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

  Language:Python21.6k2.1k

• hiyouga/LLaMA-Factory

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

  Language:Python33.6k4.1k

• QwenLM/Qwen

  The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

  Language:Python13.9k1.1k

• ymcui/Chinese-LLaMA-Alpaca

  中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

  Language:Python18.3k1.9k

• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Language:Python8.8k1.3k

• adap/flower

  Flower: A Friendly Federated AI Framework

  Language:Python5.1k867

• hiyouga/ChatGLM-Efficient-Tuning

  Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调

  Language:Python3.7k471

• THUDM/ChatGLM2-6B

  ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

  Language:Python15.7k1.9k

• Dvlv/Tkinter-By-Example

  Learn Tkinter By Example - a free book

  Language:Python1.2k362

• smallevilbeast/pyxcgui

  xcgui - bundled xcgui for python

  Language:C++767

• se7enXF/pyside2

  Python爱好者的Qt入门手册

  Language:Python43480

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.4k5.6k

• wjones127/arrow-ipc-bench

  Testing various methods of moving Arrow data between processes

  Language:Python145

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.3k3.4k

• pytorch/tutorials

  PyTorch tutorials.

  Language:Jupyter Notebook8.2k4.1k

• 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:Python33.7k5.7k