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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.

Google Research

Graph Neural Network Library for PyTorch

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

🤘 awesome-semantic-segmentation

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

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

PyTorch implementations of deep reinforcement learning algorithms and environments

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

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

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Code and hyperparameters for the paper "Generative Adversarial Networks"

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…

Deep recommender models using PyTorch.

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

Library for training machine learning models with privacy for training data

Training PyTorch models with differential privacy

PyTorch for Semantic Segmentation

A PyTorch Implementation of Federated Learning

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

Random Forest - a curated list of resources regarding random forest

Semi-supervised learning with graph embeddings

Leaf: A Benchmark for Federated Settings

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

Neural Graph Collaborative Filtering, SIGIR2019