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LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
A Library for Gaussian Processes in Chemistry
Bayesian optimization in PyTorch
Code for replicating experiments from the paper, Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes, published in AISTATS 2022.
程序员延寿指南 | A programmer's guide to live longer
A library that allows for inference on probabilistic models
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Graph Neural Network Library for PyTorch
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Magnificent app which corrects your previous console command.
Always on top solution, quickly install Afloat in macOS
A browser extension that allows you to sync Robinhood and Mint
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
Official repo for ECCV 2020 paper - RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A library of reinforcement learning components and agents
A highly efficient implementation of Gaussian Processes in PyTorch
Google Research
🐱给小白的Shadowsocks翻墙教程-Easy-to-follow tutorials for beginners on using Shadowsocks to bypass internet restrictions.
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)