C programming projects with guided practice by LabEx.

A high-throughput and memory-efficient inference and serving engine for LLMs

LLM training in simple, raw C/CUDA

Modern CUDA Learn Notes with PyTorch for Beginners, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A short guide to LaTeX that avoids legacy cruft.

This is a repo with links to everything you'd ever want to learn about data engineering

A collection of learning resources for curious software engineers

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

LLM inference in C/C++

Let us control diffusion models!

Implementation of python itertools and builtin iteration functions for C++17

Solve puzzles. Improve your pytorch.

Solve puzzles. Learn CUDA.

Latex code for making neural networks diagrams

List of startups/companies that had successful pivots

NumFOCUS Google Summer of Code Materials

👀 Visualization for SciPy sparse matrices.

General Resources for Competitive Programming

Python code for "Probabilistic Machine learning" book by Kevin Murphy

JAX - A curated list of resources https://github.com/google/jax

MADGRAD Optimization Method

Cross-platform Rust rewrite of the GNU coreutils

If Donald Knuth had designed Wikipedia

tree is a library for working with nested data structures

Interaction Fingerprints for protein-ligand complexes and more

Extending JAX with custom C++ and CUDA code

Reading list for research topics in multimodal machine learning

rga: ripgrep, but also search in PDFs, E-Books, Office documents, zip, tar.gz, etc.