Top MACHINE-LEARNING GitHub Repositories & Tools (2026)

Refine high-quality datasets and visual AI models

Official front-end implementation of ComfyUI

Audio Plugin for Audio to MIDI transcription using deep learning.

Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.

The backend agents build with - Multimodal database, orchestration, and serving in one file

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

Streamlit — A faster way to build and share data apps.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Cross-platform, customizable ML solutions for live and streaming media.

Visualizer for neural network, deep learning and machine learning models

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

NLTK Source

Build voice agents with open-source models

⚡ TabPFN: Foundation Model for Tabular Data ⚡

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

A flexible, high-performance serving system for machine learning models

A Cloud Native Batch System (Project under CNCF)

🚀 Efficient implementations for emerging model architectures