Stars
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Rust library for hardware accelerated drawing of 2D shapes, images, and text, with an easy to use API.
You like pytorch? You like micrograd? You love tinygrad! ❤️
An autoregressive character-level language model for making more things
Neural Networks: Zero to Hero
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
C++ implementation of the "Ray Tracer Challenge" book.
Taking the RayTracer Challenge by Jamis Buck
Let's jump into CUDA development with Rust
Source code to the data-oriented design book
Convenient `build.rs` helper for NVPTX crates
The missing puzzle piece for NVPTX experience with Rust
Python Implementation of Reinforcement Learning: An Introduction
A rust drawing library for high quality data plotting for both WASM and native, statically and realtimely 🦀 📈🚀
I implemented a parallel algorithm for matrix inversion based on Gauss-Jordan elimination.
Experiments with achieving better ergonomics in Rust CUDA workflow
A declarative desktop UI framework for Rust built on GTK and Gtk-rs