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CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
A fast framework for writing baseline compiler back-ends in C++
Lightning fast C++/CUDA neural network framework
You like pytorch? You like micrograd? You love tinygrad! β€οΈ
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.
An extremely fast Python package and project manager, written in Rust.
Modern, open source, self-hosted customer support desk. Single binary app.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Stanford NLP Python library for Representation Finetuning (ReFT)
SGLang is a fast serving framework for large language models and vision language models.
A high-throughput and memory-efficient inference and serving engine for LLMs
An open access book on scientific visualization using python and matplotlib
π¨ A succinct matplotlib wrapper for making beautiful, publication-quality graphics
Matplotlib styles for scientific plotting
Exploring the scalable matrix extension of the Apple M4 processor
16-voice polyphonic Autoregressive Algorithmic Synthesizer
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Learn how to design, develop, deploy and iterate on production-grade ML applications.
π§βπ« 60+ Implementations/tutorials of deep learning papers with side-by-side notes π; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gaβ¦
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A massively parallel, optimal functional runtime in Rust
A massively parallel, high-level programming language
Development repository for the Triton language and compiler