Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

Machine Learning Pipelines for Kubeflow

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

Time series forecasting with PyTorch

Probabilistic reasoning and statistical analysis in TensorFlow

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

An Engine-Agnostic Deep Learning Framework in Java

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

The official CLI and Python client for the Hugging Face Hub.

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.