amwi04

Maurice-Bach-Notes

Notes on the classic book: The Design of the UNIX Operating System

shesmu

Decision-driven action launching system

cunumeric

An Aspiring Drop-In Replacement for NumPy at Scale

comprehensive-rust

This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.

jitipy

jitify, but for Python

dream-textures

Stable Diffusion built-in to Blender

k2db

My solutions to the projects set in CMU's Intro to Database Systems Course in Rust

pint-pandas

Pandas support for pint

dask-expr

askama

Type-safe, compiled Jinja-like templates for Rust

bumble

pixi

Package management made easy

numba-mlir

POC work on MLIR backend

Sophia

The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”

simulator

udlbook

Understanding Deep Learning - Simon J.D. Prince

warp

A Python framework for high performance GPU simulation and graphics

tera

A template engine for Rust based on Jinja2/Django

pydantic

Data validation using Python type hints

models

Merlin Models is a collection of deep learning recommender system model reference implementations

kokkos

Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction

spark-rapids

Spark RAPIDS plugin - accelerate Apache Spark with GPUs

cub

[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl

Metal.jl

Metal programming in Julia

clink

Bash's powerful command line editing in cmd.exe

riscvsim_py

an riscv rv32i simulator in python inspired from https://github.com/johnwinans/rvddt

orjson

Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

textual

The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.

Kindelia

An efficient, secure cryptocomputer

HighDimPDE.jl

A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality