machine-learning

The Munich Open-Source Large-Scale Multimedia Feature Extractor

cuVS - a library for vector search and clustering on the GPU

The fastest JavaScript BPE Tokenizer Encoder Decoder for OpenAI's GPT models (gpt-5, gpt-o*, gpt-4o, etc.). Port of OpenAI's tiktoken with additional features.

A Redis module for serving tensors and executing deep learning graphs

Agent samples built using the Strands Agents SDK.

The most atomic way to train and inference a GPT in pure, dependency-free C

A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

🌟 A curated collection of free, high quality AI tools 🤖, APIs 🔗, datasets 📊, and learning resources 📚 covering machine learning 🧠, deep learning 🧩, generative AI 🎨, NLP 💬, and data science 📈. Designed to help developers 👩‍💻, researchers 🔬, and creators ✨ explore and build with AI faster ⚡.

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

A Python package for modular causal inference analysis and model evaluations

Build real time speech2text web apps using OpenAI's Whisper https://openai.com/blog/whisper/

Natural Intelligence is still a pretty good idea.

Graphics Processing Units Molecular Dynamics

Tool for data extraction and interacting with Lean programmatically.

ELKI Data Mining Toolkit

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

Implementations of NeRF variants based on Taichi + PyTorch

A Graph RAG System for Evidenced-based Medical Information Retrieval [ACL 2025]

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

Descriptive Deep Learning

List of Deep Learning Cloud Providers

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

Deep learning with spiking neural networks (SNNs) in PyTorch.

Papers about explainability of GNNs

Production-Grade ML System for Automated Unit of Measure Error Detection | 88-92% Accuracy | 94% Autonomy | KNIME Workflow

High-performance Vision library in Python. Scale your research, not boilerplate.

A header-only C++ library for numerical optimization --

This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.

TensorRT C++ API Tutorial

Hypernetworks that update LLMs to remember factual information