The official Meta Llama 3 GitHub site

Deep Learning for humans

Inference code for Llama models

A game theoretic approach to explain the output of any machine learning model.

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

NVIDIA Federated Learning Application Runtime Environment

🦜🔗 Build context-aware reasoning applications

The easiest, most secure way to use WireGuard and 2FA.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Flower: A Friendly Federated AI Framework

A collection of algorithms that can do join between two parties while preserving the privacy of keys on which the join happens

Expressive diffeomorphic transformations based on the closed-form integration of continuous piecewise affine velocity functions.

An open-source framework for machine learning and other computations on decentralized data.

A system for securely splitting secrets with Shamir's Secret Sharing Scheme

An Open Source Machine Learning Framework for Everyone

Perform data science on data that remains in someone else's server

A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.