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Stars Project Description
1,313 59,531 The Python programming language
234 2,720 Oils is our upgrade path from bash to a better language and runtime. It's also for Python and JavaScript users who avoid shell!
184 52,603 Inference code for Llama models
121 8,263 SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
114 18,257 Project documentation with Markdown.
75 30,639 LlamaIndex is a data framework for your LLM applications
29 7,800 Large Language Model Text Generation Inference
24 8,869 WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
12 74 the main Llama 3 GitHub site - will be moved under Meta-Llama
10 316 Inference engine powering open source models on OpenRouter
8 15,787 Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.
7 22,123 🐚 OpenDevin: Code Less, Make More
6 5,516 RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
6 823 Open-source solution designed to automate the process of verifying factuality
6 403 Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services
6 78 Python & JS SDK for building custom code interpreters. Built with E2B - Cloud Runtime for AI Agents.
5 1,792 A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 15.95% tasks in full SWE-bench
5 336
5 90 No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents
4 9,415 SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.29% of bugs in the SWE-bench evaluation set and takes just 1.5 minutes to run.

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