gaxler

llama2.rs

Inference Llama 2 in one file of pure Rust 🦀

dataset_agnostic_segmentation

TensorFlow implementation of a segmentation system for document images.

tinyraytrace-rs

Learning about Ray Tracing by building a basic Ray Tracer. Following "Understandable RayTracing in 256 lines of bare C++" but doing it in Rust.

comb2vec

Distributed Representations for combinatorial optimization problems

papers

Searchable paper summaries

triton-rs-poc

Efficient GPU kernel from Rust (Using OpenAI's Triton)

book

Writing Interpreters in Rust: a Guide

cuda-sys

Rust binding to CUDA APIs

dl-arpeggio

dl-arpeggio

DoubleDIP

Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"

gaxler

transmotion

Thin-Plate Spline with type hints and shape annotations.

ducky-hacky

Simple and minimalist Obsidian to Github pages

ladder

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning

mamba

nextjs-starter-blog

Next.js template for creating a blog.

nlp

Rust-nlp is a library to use Natural Language Processing algorithm with RUST

NRI

Neural relational inference for interacting systems - pytorch

numba

NumPy aware dynamic Python compiler using LLVM

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

smartcore

SmartCore is a comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.

stack-machines

TensorNetwork

A library for easy and efficient manipulation of tensor networks.

this-week-in-rust

Data for this-week-in-rust.org

trains

TRAINS - Auto-Magical Experiment Manager & Version Control for AI - NOW WITH AUTO-MAGICAL DEVOPS!

trains-server

TRAINS Server - Auto-Magical Experiment Manager & Version Control for AI

triton

Development repository for the Triton language and compiler

video-preprocessing

Wasserstein_Autoencoders

PyTorch implementation of Wasserstein Auto-Encoders