403 Open source projects that are alternatives of or similar to Matconvnet

OptiX Path Tracer

torch data augmentation toolbox (supports affine transform)

Efficient reservoir sampling implementation for PyTorch

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Hornet data structure for sparse dynamic graphs and matrices

A high-performance CUDA-based physics simulation sandbox for soft robotics and reinforcement learning.

CME 213 Class Material

Reference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)

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

Gradient Boosting powered by GPU(NVIDIA CUDA)

GPU Accelerated t-SNE for CUDA with Python bindings

Deep Object Co-Segmentation

HPC solver for nonlinear optimization problems

Simulating on GPU using Material Point Method and rendering.

custom opencv_contrib module which exposes opencv cuda optical flow methods with python bindings

K-Nearest Neighbor in Pytorch

CURRENNNT codes and scripts

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

Deep learning with cats (^._.^)

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

Tutorial on how to build your own research envirorment for Deep Learning with OpenCV, Python, Tensorfow

An GPU/CUDA implementation of the Hungarian algorithm

deformable convolution 2D 3D DeformableConvolution DeformConv Modulated Pytorch CUDA

Superpixel SLIC for GPU (CUDA)

GPU-Suite

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

Torch7 bindings for cuda-convnet2 kernels!

Some CUDA design patterns and a bit of template magic for CUDA

Application of machine learning to the Coinbase (GDAX) orderbook

A community run, 5-day PyTorch Deep Learning Bootcamp

CUDA integration for Python, plus shiny features

Julia wrapper for CUDA runtime API

PyTorch bindinga for Baidu's Warp-CTC

Weighted Softmax Loss Layer for Caffe

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

An extensible HPC framework for CUDA, OpenCL and native CPU.

Collection of Docker images for ML/DL and video processing projects

pytorch knn [cuda version]

Concurrent CPU-GPU Programming using Task Models

The source code of ECCV16 'Deep Joint Image Filtering'.

NVBIO is a library of reusable components designed to accelerate bioinformatics applications using CUDA.

Deep Learning library using GPU(CUDA/cuBLAS)

点云深度学习框架 | Point cloud Deep learning Framework

GPU database engine

deformable_conv2d layer implemented in pytorch

PyTorch 1.0 implementation of the approximate Earth Mover's Distance

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

AutoDock for GPUs and other accelerators

Introduction to Parallel Programming class code

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Tutorial for using Singularity containers

A Julia wrapper for the CUDA driver API.

A CUDA Extension of Neural Network Libraries

@ICCV2017: For exploiting second-order statistics, we propose Matrix Power Normalized Covariance pooling (MPN-COV) ConvNets, different from and outperforming those using global average pooling.

Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.

A fast and highly scalable GPU dynamic memory allocator

Weighted MinHash implementation on CUDA (multi-gpu).

ICCV2015 Image Super-Resolution Using Deep Convolutional Networks

CUDA Templates for Linear Algebra Subroutines