#machine-learning

Open3D: A Modern Library for 3D Data Processing

Tools for handling multimodal data in machine learning projects.

Extra learners for use in mlr3.

Run Pine Script® anywhere. PineTS is an open-source transpiler and runtime that brings Pine Script® logic to Node.js and the browser with 1:1 syntax compatibility. Reliably write, port, and run indicators or strategies on your own infrastructure.

Simplified Investment & Trading Toolkit with Python & C++

torchax is a PyTorch frontend for JAX. It gives JAX the ability to author JAX programs using familiar PyTorch syntax. It also provides JAX-Pytorch interoperability, meaning, one can mix JAX & Pytorch syntax together when authoring ML programs, and run it in every hardware JAX can run.

Visualizer for neural network, deep learning and machine learning models

PixlStash helps you find things in an image library that's gotten out of hand. It imports and tags your images automatically, then lets you search by content or face, sort the keepers from the rubbish, and serve data to other tools (like ComfyUI) with a REST API. Use the desktop version or run it headless as a server.

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

ONNX neural network inference engine

The Ruby framework for programming—rather than prompting—language models.

MoleculeKit: Your favorite molecule manipulation kit

A Julia machine learning framework

A browser-based tool for image annotation

Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

Message Passing Neural Networks for Molecule Property Prediction

Build AI-powered security tools. 50+ hands-on labs covering ML, LLMs, RAG, threat detection, DFIR, and red teaming. Includes Colab notebooks, Docker environment, and CTF challenges.

Fast and differentiable particle accelerator optics simulation for reinforcement learning and optimisation applications.

HyPSTER - Configuration Framework for Optimizing AI & AI Systems

Опис репозиторію не опубліковано.

JAX-based neural network library

A Data Streaming Library for Efficient Neural Network Training

A high performance implementation of HDBSCAN clustering.

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!

MS²PIP: Fast and accurate peptide spectrum prediction for multiple fragmentation methods, instruments, and labeling techniques.

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

HTML page, form and field type classifier using ML (LogReg + CRF)

[DEPRECATED] Moved to ROCm/rocm-libraries repo

Synthetic data curation for post-training and structured data extraction