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

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

The Memory layer for your AI apps

Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory

Get your documents ready for gen AI

Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.

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.

Containers for machine learning

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

Composable building blocks to build Llama Apps

Agent Framework / shim to use Pydantic with LLMs

Replace 'hub' with 'ingest' in any github url to get a prompt-friendly extract of a codebase

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

The most advanced AI retrieval system. Containerized, Retrieval-Augmented Generation (RAG) with a RESTful API.

🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.

Convert Jupyter Notebooks to Web Apps

Solving the Traveling Salesman Problem using Self-Organizing Maps

Because sometimes you need to do it live

Run PyTorch LLMs locally on servers, desktop and mobile

Seamlessly integrate LLMs into scikit-learn.

AdalFlow: The library to build & auto-optimize LLM applications.

An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAI

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

Feature engineering package with sklearn like functionality

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

Data Structures and Algorithms in Python

A Data Engineering & Machine Learning Knowledge Hub