ryanchen-jw

ryanchen-jw's Stars

• langchain-ai/langserve

  LangServe 🦜️🏓

  Language:JavaScript1.9k213

• streamlit/llm-examples

  Streamlit LLM app examples for getting started

  Language:Python6161.3k

• chatchat-space/Langchain-Chatchat

  Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  Language:TypeScript31.7k5.5k

• TransformerOptimus/SuperAGI

  <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

  Language:Python15.4k1.9k

• 5zjk5/prompt-engineering

  prompt 工程项目案例

  Language:Jupyter Notebook376

• Azure-Samples/graphrag-accelerator

  One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure

  Language:Python1.8k288

• wsxqaza12/GraphRAG-Visualization-Tutorial

  GraphRAG indexed files & visual tutorials for cost-saving, quick start!

  Language:Jupyter Notebook202

• mshumer/gpt-prompt-engineer

  Language:Jupyter Notebook9.3k644

• microsoft/graphrag

  A modular graph-based Retrieval-Augmented Generation (RAG) system

  Language:Python18.3k1.8k

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML112k15.3k

• jupyterhub/jupyterhub

  Multi-user server for Jupyter notebooks

  Language:Python7.8k2k

• liaokongVFX/LangChain-Chinese-Getting-Started-Guide

  LangChain 的中文入门教程

  7.4k596

• ChingWeiChan/ollama-streamlit-demo

  A simple streamlit app with ollama.

  Language:Python132

• open-webui/open-webui

  User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

  Language:Svelte43.7k5.3k

• ollama/ollama

  Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

  Language:Go94.3k7.5k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python26.8k3k

• WillKoehrsen/wikipedia-data-science

  Working with and analyzing Wikipedia Data

  Language:Jupyter Notebook692287

• entron/entity-embedding-rossmann

  Language:Jupyter Notebook872328

• ankycheng/Finlab_Django

  Stock analysis by python and django

  Language:Jupyter Notebook72

• voila-dashboards/voila

  Voilà turns Jupyter notebooks into standalone web applications

  Language:Python5.4k504

• gogs/gogs

  Gogs is a painless self-hosted Git service

  Language:Go45k4.9k

• FinMind/FinMind

  Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/

  Language:Jupyter Notebook2.1k340

• sm823zw/Recommendation-System-Using-GNNs

  This repository contains the code for building a recommendation system using Graph Neural Networks(GNNs).

  Language:Jupyter Notebook2314

• Vision-CAIR/MiniGPT-4

  Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

  Language:Python25.4k2.9k

• databrickslabs/dolly

  Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

  Language:Python10.8k1.2k

• mojtaba-peyrovi/Coursera-Recommendation-TF-GCP

  Coursera course for making recommendation systems using TensorFlow on GCP platform

  Language:Jupyter Notebook106

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.7k3.3k

• lux-org/lux

  Automatically visualize your pandas dataframe via a single print! 📊 💡

  Language:Python5.2k366

• optuna/optuna-examples

  Examples for https://github.com/optuna/optuna

  Language:Python680177

• microsoft/qlib

  Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

  Language:Python15.4k2.6k