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Rust library for quantitative finance.

Interpretability and explainability of data and machine learning models

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Large-scale LLM inference engine

Reference implementations of MLPerf® training benchmarks

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy

Machine Learning in Asset Management (by @firmai)

Python AutoML for Trading Systems and Sports Betting

JVector: the most advanced embedded vector search engine

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Synthetic data curation for post-training and structured data extraction

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Automated Machine Learning on Kubernetes

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

Python audio and music signal processing library

Synthetic data generators for tabular and time-series data

Machine learning with dataframes

Reference implementations of MLPerf® inference benchmarks

Keras community contributions

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.

MLBox is a powerful Automated Machine Learning python library.

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

A Data Streaming Library for Efficient Neural Network Training

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

ID3-based implementation of the ML Decision Tree algorithm

moDel Agnostic Language for Exploration and eXplanation