Collect some CS textbooks for learning.

GLake: optimizing GPU memory management and IO transmission.

Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators

Implementations of Buffets, which are efficient, composable idioms for implementing Explicit Decoupled Data Orchestration.

Example models using DeepSpeed

A reading list for homomorphic encryption

A reading list for deep graph learning acceleration.

A list of tutorials, paper, talks, and open-source projects for emerging compiler and architecture

Code for BlockSkim

Code for ACL2022 publication Transkimmer: Transformer Learns to Layer-wise Skim

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

A tool box for MindSpore users to enhance model security and trustworthiness.

SQuant [ICLR22]

Libraries for finite field, elliptic curve, and polynomial arithmetic

fft impl for ff::Field

THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.

Multilingual BLS12-381 signature library

A Rust library for the Marlin preprocessing zkSNARK

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

Berkeley's Spatial Array Generator

A curated list of promising OCR resources

header only, dependency-free deep learning framework in C++14