All Algorithms implemented in Python

🤗 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.

21 Lessons, Get Started Building with Generative AI

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Python tool for converting files and office documents to Markdown.

An extremely fast Python package and project manager, written in Rust.

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

scikit-learn: machine learning in Python

Deep Learning for humans

Interact with your documents using the power of GPT, 100% privately, no data leaks

A markup-based typesetting system that is powerful and easy to learn.

The Julia Programming Language

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

An AI Hedge Fund Team

Extremely fast Query Engine for DataFrames, written in Rust

What the f*ck Python? 😱

DuckDB is an analytical in-process SQL database management system

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

The fastai deep learning library

Official inference repo for FLUX.1 models

A game theoretic approach to explain the output of any machine learning model.

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…

Command & Conquer: Remastered Collection

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Inference Llama 2 in one file of pure C

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Kolmogorov Arnold Networks

A framework for managing and maintaining multi-language pre-commit hooks.