#Gpu-computing
Showing 37 of 37 repositories tagged #gpu-computing, ranked by stars
Video stabilization using gyroscope data
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
High-performance TensorFlow library for quantitative finance.
Resource scheduling and cluster management for AI
A modular and open-ended toolkit for WebGPU, with advanced type inference and the ability to write shaders in TypeScript
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
Deep learning in Rust, with shape checked tensors and neural networks
Simulation of spiking neural networks (SNNs) using PyTorch.
The write-once-run-anywhere GPGPU library for Rust
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
LuxCore source repository
Blender Integration for LuxCore
List of Deep Learning Cloud Providers
This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.
Differentiable Fluid Dynamics Package
A framework for high-performance medical image processing, neural network inference and visualization
RDNA-native LLM inference engine in Rust.
Kernel Tuner
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...
[DEPRECATED] Moved to ROCm/rocm-libraries repo
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
Open-source runtime for math. Write MATLAB syntax, run on CPU + GPU across platforms (Mac/Win/Linux/Web).
Runtime for building and managing AI agents and Workflows. Easy to learn, fast to build, High Performance, Reliable by design, Intuitive UI, Production Ready.
Modern web-based distributed hashcracking solution, built on hashcat
A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs.
PandaDock: Physics based Molecular Docking with GNN Scoring
AMD ROCm Installation Guide on RX 6600 XT + TensorFlow and PyTorch
A learning-focused, high-performance tensor computation library built from scratch in Rust, featuring automatic differentiation and CPU/CUDA backends.
Deploy, manage and monitor Gen AI workloads in minutes in your own tenancy and GPU infrastructure resources.
A pseudo operating system for local and cloud compute (Opensourcing on 5000th star)
A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker Hub:
PyTorch research stack for ML multi-factor trading: 213 factors, bias correction, portfolio optimization, and vectorized backtesting.
Edge Vector search engine with Vulkan GPU acceleration, hierarchical indexing (HRM2), and native LangChain integration. Gaussian splat-based architecture for similarity search on resource-constrained devices.
A basic jupyterhub with Nvidia GPU accessibility.
Fine-tuning a Large Language Model (LLM) for code vulnerability detection using QLoRA, a method that quantizes the model to 4-bit floats and incorporates adapters for fine-tuning.