1494 Open source projects that are alternatives of or similar to Speedtorch

NumPy & SciPy for GPU

A flexible framework of neural networks for deep learning

A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python

Implementation of Macklin, Miles, and Matthias Müller. "Position based fluids.". Visual Studio 2015 + CUDA 8.0

BriefMatch real-time GPU optical flow

Fork of CUDA GPU memtest 👓

Lightning fast & tiny C++/CUDA neural network framework

stdgpu: Efficient STL-like Data Structures on the GPU

A high-performance distributed deep learning system targeting large-scale and automated distributed training.

Script to remotely check GPU servers for free GPUs

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

No description or website provided.

Achieve peak performance on x86 CPUs and NVIDIA GPUs

Lighthouse 2 framework for real-time ray tracing

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[内测中]前向式Python环境快捷封装工具，快速将Python打包为EXE并添加CUDA、NoAVX等支持。

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Dockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings

continuous energy monte carlo neutron transport in general geometries on GPUs

A curated list of awesome Distributed Deep Learning resources.

a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version

A collection of GICP-based fast point cloud registration algorithms

Rusty wrapper for the CUDA Driver API

High-performance Bayesian Data Analysis on the GPU in Clojure

Thin C++-flavored wrappers for the CUDA Runtime API

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Base container for developing C++ and Fortran HPC applications

a reimplementation of PWC-Net in PyTorch that matches the official Caffe version

Open3D: A Modern Library for 3D Data Processing

This repository consists for gpu bootcamp material for HPC and AI

Data visualisation in Python based on OptiX 7.2 ray tracing framework.

FLAME GPU 2 is a GPU accelerated agent based modelling framework for C++ and Python

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

GPU Fluid Simulation with Volumetric Rendering

Squeeze-and-Excitation Networks

an implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch

an implementation of parallel linear BVH (LBVH) on GPU

Named Entity Recognition using multilayered bidirectional LSTM

An efficient C++17 GPU numerical computing library with Python-like syntax

Rust wrapper for ArrayFire

A domain-specific language and compiler for image processing

High-Performance Multiple-Backend Renderer Based on LuisaCompute

JIT Compilation for Multiple Architectures: C++, OpenMP, CUDA, HIP, OpenCL, Metal

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

This is a list of useful libraries and resources for CUDA development.

A fast Clojure Tensor & Deep Learning library

Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.

ArrayFire: a general purpose GPU library.

The C++ parallel algorithms library.

Python bindings for ArrayFire: A general purpose GPU library.

gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)

cuDF - GPU DataFrame Library

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

H2Oai GPU Edition

ILGPU JIT Compiler for high-performance .Net GPU programs

Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources

Robotics with GPU computing

Simple physically based path tracer based on Nvidia's Optix Ray Tracing Engine

PopSift is an implementation of the SIFT algorithm in CUDA.

CUDA programming in Julia.