Stars
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Source code for the X Recommendation Algorithm
A technical report template for the UC Berkeley EECS Master of Science, Plan II.
Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural network models (and their initializations) to make them easier to…
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
Structured state space sequence models
Implementation of https://srush.github.io/annotated-s4
RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A collection of reference environments for offline reinforcement learning
thisiscam / math-with-slack
Forked from fsavje/math-with-slackRendered math (MathJax) with Slack's desktop client
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Singularity has been renamed to Apptainer as part of us moving the project to the Linux Foundation. This repo has been persisted as a snapshot right before the changes.
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
The lightweight Arch Linux based distro that runs, without root privileges, on top of any other Linux distro.
This introduces a suggestion of mathematical notation protocol for machine learning.
WebExtension implementation of Decentraleyes project: Local emulation of Content Delivery Networks
The new Windows Terminal and the original Windows console host, all in the same place!
Microsoft PowerToys is a collection of utilities that supercharge productivity and customization on Windows
C cli and library for Tsinghua University network authentication
清华大学网络学堂 App，以 React Native 构建。App for Tsinghua University Web Learning, developed with React Native. ⚛️