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📙 Awesome Data Catalogs and Observability Platforms.
A topic-centric list of HQ open datasets.
Perplexica is an AI-powered answering engine. It is an Open source alternative to Perplexity AI
Grow your community and gather support on the decentralized Nostr protocol with eCash
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
We're tracking all our Issues, RFCs and a few other documents in this repository.
A simple service to add or get more information about a given transaction
aider is AI pair programming in your terminal
Textbook on reinforcement learning from human feedback
Kexa's simple rules (Open Source) make it easy to monitoring and manage alerting of your entire cloud. With various monitoring and alerting options, instant and detailed alerts, easy-to-deploy and …
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
A web application for browsing and managing chat histories from the Cursor editor's AI chat feature. View, search, and export your AI conversations in various formats.
🤗 smolagents: a barebones library for agents that think in code.
Unlock 650+ MCP servers tools in your favorite agentic framework.
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
A time tracking app that respects your privacy and the gets the job done without being fancy.
A high-throughput and memory-efficient inference and serving engine for LLMs
Teaching transformers to play chess
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
All Algorithms implemented in Python
PyTorch code and models for V-JEPA self-supervised learning from video.