Top 527 cuda open source projects

Deep Learning library using GPU(CUDA/cuBLAS)

A fast and highly scalable GPU dynamic memory allocator

Weighted Softmax Loss Layer for Caffe

Deep learning with cats (^._.^)

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Weighted MinHash implementation on CUDA (multi-gpu).

A community run, 5-day PyTorch Deep Learning Bootcamp

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

pytorch knn [cuda version]

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

PyTorch 1.0 implementation of the approximate Earth Mover's Distance

deformable convolution 2D 3D DeformableConvolution DeformConv Modulated Pytorch CUDA

A CUDA Extension of Neural Network Libraries

ICCV2015 Image Super-Resolution Using Deep Convolutional Networks

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

HPC solver for nonlinear optimization problems

Julia wrapper for CUDA runtime API

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

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

CURRENNNT codes and scripts

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

Efficient reservoir sampling implementation for PyTorch

GPU database engine

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

AutoDock for GPUs and other accelerators

Gradient Boosting powered by GPU(NVIDIA CUDA)

A Julia wrapper for the CUDA driver API.

GPU-Suite

@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.

CUDA Templates for Linear Algebra Subroutines

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

GPU Accelerated t-SNE for CUDA with Python bindings

Application of machine learning to the Coinbase (GDAX) orderbook

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

CUDA integration for Python, plus shiny features

Simulating on GPU using Material Point Method and rendering.

PyTorch bindinga for Baidu's Warp-CTC

OptiX Path Tracer

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

K-Nearest Neighbor in Pytorch

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

CME 213 Class Material

Concurrent CPU-GPU Programming using Task Models

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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

torch data augmentation toolbox (supports affine transform)

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

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

deformable_conv2d layer implemented in pytorch

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

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.

An GPU/CUDA implementation of the Hungarian algorithm

Introduction to Parallel Programming class code

Hornet data structure for sparse dynamic graphs and matrices

Tutorial for using Singularity containers

Superpixel SLIC for GPU (CUDA)

Deep Object Co-Segmentation

Torch7 bindings for cuda-convnet2 kernels!

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