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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
AI agents running research on single-GPU nanochat training automatically
Convert PDF to markdown + JSON quickly with high accuracy
You like pytorch? You like micrograd? You love tinygrad! ❤️
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
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.
An open source platform for Python in the browser. https://pyscript.net Docs: https://docs.pyscript.net/ Try it: https://pyscript.com/ Community: https://discord.gg/HxvBtukrg2
A curated list of awesome mathematics resources
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
A modern and customizable python UI-library based on Tkinter
Hierarchical Reasoning Model Official Release
Statsmodels: statistical modeling and econometrics in Python
An open access book on scientific visualization using python and matplotlib
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Bayesian Modeling and Probabilistic Programming in Python
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
Matplotlib styles for scientific plotting
Multilingual Document Layout Parsing in a Single Vision-Language Model
Create *beautiful* command-line interfaces with Python