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

GA-Net: Guided Aggregation Net for End-to-end Stereo Matching

Simulating on GPU using Material Point Method and rendering.

C++ library for solving large sparse linear systems with algebraic multigrid method

Stream Processing with OCaml

A UNIVERSAL MUSIC TRANSLATION NETWORK - a method for translating music across musical instruments and styles.

OptiX Path Tracer

NVIDIA-accelerated zero latency video compression library for interactive remoting applications

ILGPU JIT Compiler for high-performance .Net GPU programs

K-Nearest Neighbor in Pytorch

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

CLTune: An automatic OpenCL & CUDA kernel tuner

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

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FSA/FST algorithms, differentiable, with PyTorch compatibility.

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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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

PyTorch - Python + Nim

torch data augmentation toolbox (supports affine transform)

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JCuda - Java bindings for CUDA

ArrayFire: a general purpose GPU library.

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

A CUDA backend for Torch7

Official source code for our paper "AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation" (CVPR 2020)

Sample codes for my CUDA programming book

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

A collection of GICP-based fast point cloud registration algorithms

A real time optical flow algorithm implemented on GPU

Unsupervised Learning of Video Representations using LSTMs

An GPU/CUDA implementation of the Hungarian algorithm

CUDA Voxelizer to convert polygon meshes into annotated voxel grids

CUDA Homomorphic Encryption Library

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

Hornet data structure for sparse dynamic graphs and matrices

This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"

A fast Clojure Tensor & Deep Learning library

Superpixel SLIC for GPU (CUDA)

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

World's fastest and most advanced password recovery utility

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

Deep Object Co-Segmentation

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

Python library for Room Impulse Response (RIR) simulation with GPU acceleration

Your 🔵 Superintelligence

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

Implementation of Newcombe et al. CVPR 2015 DynamicFusion paper

Chamfer Distance in Pytorch with f-score

Large octree map construction and rendering with CUDA and OpenGL

Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU

Examples of C# code compiled to GPU by hybridizer

Burstcoin C++ CPU and GPU Miner

NCCL Tests

Numerical linear algebra software package

A C++ Cuda Tensor Lazy Computing Library

Flattened convolutional neural networks (1D convolution modules for Torch nn)

CUDA programming in Julia.