gpu-acceleration

RayTracer from the ground

Speaker-independent spoken digit classification on AudioMNIST. Mel-spectrograms + ResNet-18 in PyTorch, 99.7% on held-out speakers.

Create a spot VM on GCP using Terraform with optional GPU

Implementation of an algorithm I developed called the Bounded Manhattan Assignment that assigns detected faces to detected people by mapping facial features to body landmarks.

A simple CUDA C++ vector addition project demonstrating CPU vs GPU parallel computing. Compares sequential CPU vector addition with GPU-accelerated CUDA implementation. shows how to write GPU kernels, manage memory, and compare CPU vs GPU performance.

run GPU-accelerated terminals on macOS without GPU or Metal support (kitty/WezTerm/Ghostty/Alacritty) — for virtual machines, Hackintosh setups, or any environment with no hardware GPU

CREAM — Compute-shader Rust EAM Atomistics

Experimental CUDA-assisted LAME cVBRb encoder with hybrid CPU/GPU processing.

GPU Accelerated Image Filters

GPU-enabled Image classification python app with 102 flower classes

How to build ML / AI models which had been used for serving strategy.gg web serivce

Playground project

GPU-accelerated implementation of the Smith-Waterman algorithm (GPU101 PiA project)

Slides and other material for the Cyprus NCC training event about "Data analytics in the era of large-scale machine learning".

This report presents JAXImg, a compact, educational implementation of a text-to-image generative model inspired by OpenAI Dalle

A high-performance implementation of Linear and ReLU CUDA kernels for neural networks. Demonstrates GPU acceleration integration using both PyTorch C++ extensions and low-level Python ctypes bindings.

Python framework for volatility models with automatic differentiation.