Collection of Summer 2026 tech internships!

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Graph Neural Network Library for PyTorch

Bonus materials, exercises, and example projects for our Python tutorials

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

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Google Research

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…

Training PyTorch models with differential privacy

Geoff Boeing's academic CV in LaTeX

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This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Library for training machine learning models with privacy for training data

A collection of Google research projects related to Federated Learning and Federated Analytics.

FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.

Simulate a federated setting and run differentially private federated learning.

code and docs for the EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

PyTorch implementations of deep reinforcement learning algorithms and environments

A PyTorch Implementation of Federated Learning

[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

An adversarial example library for constructing attacks, building defenses, and benchmarking both

RSTutorials: A Curated List of Algorithms about Traditional and Social Recommender System.

A curated list of adversarial attacks and defenses papers on graph-structured data.

autodp: A flexible and easy-to-use package for differential privacy

Fair Resource Allocation in Federated Learning (ICLR '20)

Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

Random Forest - a curated list of resources regarding random forest