Minimal examples of data structures and algorithms in Python

Official inference framework for 1-bit LLMs

Code for the paper "Language Models are Unsupervised Multitask Learners"

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integra…

☁️ Build multimodal AI applications with cloud-native stack

Project documentation with Markdown.

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

Intelligent automation and multi-agent orchestration for Claude Code

The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

SGLang is a fast serving framework for large language models and vision language models.

Open standard for machine learning interoperability

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

Code samples for my book "Neural Networks and Deep Learning"

A lightweight, powerful framework for multi-agent workflows

historical code from reddit.com

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Inference code for CodeLlama models

A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

🦉 Data Versioning and ML Experiments

Memray is a memory profiler for Python

Video editing with Python

Static site generator that supports Markdown and reST syntax. Powered by Python.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Serverless Python

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

Low-code framework for building custom LLMs, neural networks, and other AI models

Minimal and clean examples of machine learning algorithms implementations

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.