Lists (4)
Sort Name ascending (A-Z)
Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
A high-throughput and memory-efficient inference and serving engine for LLMs
Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Composable building blocks to build Llama Apps
Replace 'hub' with 'ingest' in any github url to get a prompt-friendly extract of a codebase
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
Agent Framework / shim to use Pydantic with LLMs
The most advanced AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
Solving the Traveling Salesman Problem using Self-Organizing Maps
Run PyTorch LLMs locally on servers, desktop and mobile
Seamlessly integrate LLMs into scikit-learn.
An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAI
AdalFlow: The library to build & auto-optimize LLM applications.
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.