Relax! Flux is the ML library that doesn't make you tensor
Performance Software for Cyclists, Runners, Triathletes and Coaches
Julia package of loss functions for machine learning
Aqueduct allows you to run LLM and ML workloads on any infrastructure
Feature Store for Machine Learning
Pythonic tool for running machine-learning/high performance workflows
Light-weight, flexible, expressive statistical data testing library
A fast and flexible Structural Equation Modelling Framework
Data-Centric Pipelines and Data Versioning
Training PyTorch models with differential privacy
A toolkit to optimize ML models for deployment for Keras & TensorFlow
Petastorm library enables single machine or distributed training
Serve machine learning models within a Docker container
Train machine learning models within Docker containers
Reference implementations of MLPerf™ training benchmarks
Helps scientists define testable, modular, self-documenting dataflow
Toolbox of models, callbacks, and datasets for AI/ML researchers
A Python package to assess and improve fairness of ML models
Explainability and Interpretability to Develop Reliable ML models
Modern columnar data format for ML and LLMs implemented in Rust
Python Package for ML-Based Heterogeneous Treatment Effects Estimation
Adversarial Robustness Toolbox (ART) - Python Library for ML security
The Compute Library is a set of computer vision and machine learning
Universal modeling and simulation of fluid mechanics upon ML
Utility package for accessing common Machine Learning datasets