Top 1817 Cuda open source projects

No description, website, or topics provided.

CUDAAdvisor: a GPU profiling tool

No description, website, or topics provided.

Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system reduces training cost and time by dynamically updating the training cluster size during training, with minimal impact on model training accuracy.

Unofficial Faster PyTorch implementation of Convolutional Spatial Propagation Network

A fast tool to do image augmentation on GPU(especially elastic_deform), can be helpful to research on Medical Image.

Anchor Diffusion for Unsupervised Video Object Segmentation

ALIEN is a CUDA-powered artificial life simulation program.

Julia AutoDiff

[CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation

Bayesian nonparametric small-variance asymptotic clustering algorithms

Excitation Backprop for RNNs

DCA++

Monte Carlo eXtreme (MCX) - GPU-accelerated photon transport simulator

Implemented stackless KDTree on GPU to accelerate ray tracing rendering algorithm. Hardware level optimizations for register spills local memory overhead are used.

PyTorch implementation of "Learnable Motion Coherence for Correspondence Pruning" CVPR 2021.

Windows version of NVIDIA's NCCL ('Nickel') for multi-GPU training - please use https://github.com/NVIDIA/nccl for changes.

an improvement of fast_gicp

Deep Learning framework with NVIDIA & AMD support

istar is a software-as-a-service platform for bioinformatics and chemoinformatics.

[SIGGRAPH 2021] ROSEFusion is proposed to tackle the difficulties in fast-motion camera tracking using random optimization with depth information only.

CS344 - Introduction To Parallel Programming course (Udacity) proposed solutions

A Benchmark Suite for Heterogeneous System Computation

Comparison of DBoW2, DBoW3, FBoW and Vocabulary of GSLAM.

Tensor Algebra Library Routines for Shared Memory Systems

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

The source code for the TMM paper: Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection Network

GVProf: A Value Profiler for GPU-based Clusters

No description, website, or topics provided.

UniSpeech - Large Scale Self-Supervised Learning for Speech

Bayesian Personalized Ranking using PyTorch

Open-Source Sidewalk Navigation Software for Visually-Impaired Individuals using Multithreaded CNN’s

CCFDF rebar detection

[ACM MM 2021 Oral] Unsupervised Portrait Shadow Removal via Generative Priors

Differentiable Rasterization-based Renderer implemented in CUDA and C++

Yolo(including yolov1 yolov2 yolov3)running on caffe windows. Anyone that is not familiar with linux can use this project to learn caffe developing

C++ed version of Yolo

Convert images and video to ascii art!

Example of how to use CUDA with CMake >= 3.8

Learning Directly from Synthetic Point Clouds for "In-the-wild" 3D Face Recognition

PyTorch Implementation of Sparse DETR

БГУИР 2019-2023 (КСиС, ВМСиС)

Learning to See by Looking at Noise

An Aspiring Drop-In Replacement for Pandas at Scale

Code for ICML 2021 paper: How could Neural Networks understand Programs?

A Library for fast Hash Tables on GPUs

Code for "Unsupervised Adaptation for Deep Stereo" - ICCV17

FRP: Fast Random Projections

Codes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022

A framework for pipelined computing on GPU