403 Open source projects that are alternatives of or similar to Pytorch Hed

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

A fast Clojure Tensor & Deep Learning library

JCuda - Java bindings for CUDA

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

torch data augmentation toolbox (supports affine transform)

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

Fully Convolutional Instance-aware Semantic Segmentation

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

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

Your 🔵 Superintelligence

TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification

Implementation of Newcombe et al. CVPR 2015 DynamicFusion paper

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification (ICCV 2019) - Official PyTorch Implementation

Brain Simulator is a platform for visual prototyping of artificial intelligence architectures.

oneAPI Math Kernel Library (oneMKL) Interfaces

Instant neural graphics primitives: lightning fast NeRF and more

An GPU/CUDA implementation of the Hungarian algorithm

High-Performance Multiple-Backend Renderer Based on LuisaCompute

Examples demonstrating available options to program multiple GPUs in a single node or a cluster

Dockerfile containing FFmpeg, OpenCV4 and Python2/3, based on Ubuntu LTS

Hornet data structure for sparse dynamic graphs and matrices

GPU PyTorch TOP in TouchDesigner with CUDA-enabled OpenCV

Fast K-Nearest Neighbor search with GPU

Implementation of Cuda to OpenGL rendering

Superpixel SLIC for GPU (CUDA)

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

Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.

An open-source solver tool for the Maxwell-Bloch equations.

Deep Object Co-Segmentation

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

Stream Processing with OCaml

Simple tool to calculate sha256 on GPU using Cuda

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

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

a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)

an implementation of parallel linear BVH (LBVH) on GPU

Large octree map construction and rendering with CUDA and OpenGL

Generate displacement fields with known volume changes

CLTune: An automatic OpenCL & CUDA kernel tuner

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

caffe implementation of "Arbitrary Style Transfer with Deep Feature Reshuffle"

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

Haste: a fast, simple, and open RNN library

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

A GPU implementation of smallpt (http://www.kevinbeason.com/smallpt/) with Bounding Volume Hierarchy (BVH) tree.

Lane depertaure and Yolo objection detection C++ Linux

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

GitHub Action to install CUDA

GPU-accelerated Cloth TOP node for TouchDesigner using the NVIDIA Flex physics solver.

Clojure library for CUDA development

Kernel Tuning Toolkit

Robotics with GPU computing

DeepSpeech neon implementation

Super simple & easy Windows 10 cryptocurrency miner made by NiceHash.

OneFlow is a performance-centered and open-source deep learning framework.

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

Fast inference engine for OpenNMT models

Julia wrapper for CUDA runtime API