Stars
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message…
The open source platform for AI-native application development.
DSPy: The framework for programming—not prompting—language models
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
LlamaIndex is the leading document agent and OCR platform
CamelBell（驼铃) is be a Chinese Language Tuning project based on LoRA. CamelBell is belongs to Project Luotuo(骆驼), an open sourced Chinese-LLM project created by 冷子昂 @ 商汤科技 & 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技
骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
The original local LLM interface. Text, vision, tool-calling, training. UI + API, 100% offline and private.
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Alpaca dataset from Stanford, cleaned and curated
Instruct-tune LLaMA on consumer hardware
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
Kubernetes application example tutorials
This repository contains the code to reconstruct the training dataset from NLP/ML Papers in PDF format together with their corresponding slides.
A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.
🏅 Collection of Kaggle Solutions and Ideas 🏅
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
Missing data visualization module for Python.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]