Simon Boehm

SGEMM_CUDA. Fast CUDA matrix multiplication from scratch

awesome-learn-datascience. :chart_with_upwards_trend: Curated list of resources to help you get started with Data Science

lleaves. Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

ShallowSpeed. Small scale distributed training of sequential deep learning models, built on Numpy and MPI.

NormalizingFlowNetwork. Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982

pytorch-dev-pod-transcripts. (Unofficial) transcriptions of https://pytorch-dev-podcast.simplecast.com/

bench. Benchmarks that I felt like running today

LLMDrift. Jupyter Notebook

github-stars-by-topic. :star: Generate a list of your GitHub stars by topic - automatically!

cccl. CUDA C++ Core Libraries

thrust. The C++ parallel algorithms library.

Conditional_Density_Estimation. Package implementing various parametric and nonparametric methods for conditional density estimation

team-datascience-projects. projects of team datascience

VSpaceCode. Spacemacs like keybindings for Visual Studio Code