sunilsivadas

sunilsivadas's Stars

• All-Hands-AI/OpenHands

  🙌 OpenHands: Code Less, Make More

  Language:Python37.8k3161.7k4.3k

• Pythagora-io/gpt-pilot

  The first real AI developer

  Language:Python32k2925373.2k

• OpenBMB/ChatDev

  Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

  Language:Shell25.7k3122643.2k

• mem0ai/mem0

  The Memory layer for your AI apps

  Language:Python23.1k1306872.1k

• microsoft/graphrag

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

  Language:Python20.1k1405342k

• mendableai/firecrawl

  🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

  Language:TypeScript19.3k1084031.5k

• ScrapeGraphAI/Scrapegraph-ai

  Python scraper based on AI

  Language:Python16k1063241.3k

• apify/crawlee

  Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.

  Language:TypeScript15.9k103893685

• phidatahq/phidata

  Build AI Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI.

  Language:Python15.7k1112712.2k

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13.8k98181.1k

• princeton-nlp/SWE-agent

  [NeurIPS 2024] SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges.

  Language:Python13.8k973871.4k

• stanford-oval/storm

  An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

  Language:Python13.6k961471.2k

• OpenBMB/MiniCPM-V

  MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

  Language:Python12.8k106593894

• vanna-ai/vanna

  🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

  Language:Python12.1k93316973

• ShishirPatil/gorilla

  Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

  Language:Python11.5k992511k

• danswer-ai/danswer

  Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.

  Language:Python10.8k1075651.4k

• microsoft/promptflow

  Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

  Language:Python9.6k101605878

• langchain-ai/langgraph

  Build resilient language agents as graphs.

  Language:Python7k633331.1k

• Codium-ai/pr-agent

  🚀CodiumAI PR-Agent: An AI-Powered 🤖 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! 💻🔍

  Language:Python6.2k47338601

• lavague-ai/LaVague

  Large Action Model framework to develop AI Web Agents

  Language:Python5.5k54291508

• defog-ai/sqlcoder

  SoTA LLM for converting natural language questions to SQL queries

  Language:Jupyter Notebook3.4k34111218

• n4ze3m/page-assist

  Use your locally running AI models to assist you in your web browsing

  Language:TypeScript1.6k16160154

• BCG-X-Official/agentkit

  Starter-kit to build constrained agents with Nextjs, FastAPI and Langchain

  Language:TypeScript1.6k2310213

• e-p-armstrong/augmentoolkit

  Convert Compute And Books Into Instruct-Tuning Datasets! Makes: QA, RP, Classifiers.

  Language:Python1.1k2157146

• nlpyang/geval

  Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"

  Language:Python2674828

• Zhen-Tan-dmml/LLM4Annotation

  2134113

• aws-solutions/generative-ai-application-builder-on-aws

  Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. The solution includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and pre-built connectors for 3rd-party LLMs.

  Language:TypeScript179222961

• MadryLab/context-cite

  Attribute (or cite) statements generated by LLMs back to in-context information.

  Language:Jupyter Notebook1556214

• HazyResearch/eclair-agents

  Automating enterprise workflows with multimodal agents

  Language:Jupyter Notebook95171014

• microsoft/semanticworkbench

  A versatile tool designed to help prototype intelligent assistants, agents and multi-agentic systems

  Language:Python9511732