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

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

DaCe - Data Centric Parallel Programming

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.

Fast inference engine for OpenNMT models

Introduction to Parallel Programming class code

Fast CUDA Kernels for ResNet Inference.

Tutorial for using Singularity containers

RAPIDS Memory Manager

Deep.Net machine learning framework for F#

Torch7 bindings for cuda-convnet2 kernels!

Fast Neural Machine Translation in C++ - development repository

How fast can we brute force a 64-bit comparison?

Extending JAX with custom C++ and CUDA code

N body gravity attraction problem solver

Physically based renderer and simulation engine for real-time applications.

A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is faster than the state-of-the-art implementations. Existing the state-of-the-art library also decompresses the whole embedding tables on the fly therefore they do not provide memory reduction during runtime of the training. Our library decompresses only the requested rows therefore can provide 10,000 times memory footprint reduction per embedding table. The library also includes a software cache to store a portion of the entries in the table in decompressed format for faster lookup and process.

Deformable ConvNets V2 (DCNv2) in PyTorch

Domain-invariant Stereo Matching Networks

Experiments with CUDA and Rust

Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line

Utilities for CUDA programming

LLVM backend for Accelerate

DES cracking using brute force algorithm and CUDA

MatConvNet: CNNs for MATLAB

Image recognition and classification using Convolutional Neural Networks with TensorFlow

QUDA is a library for performing calculations in lattice QCD on GPUs.

A CUDA project for Molecular Dynamics, Brownian Dynamics, Hydrodynamics... intended to simulate a very generic system constructing a simulation with modules.

Deep Learning library using GPU(CUDA/cuBLAS)

Bregman ADMM for mass transportation on GPU

The C++ Standard Library for your entire system.

Slides and demo code for past presentations

Weighted Softmax Loss Layer for Caffe

CUDA on Intel GPUs

Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.

Atmospheric fluid dynamics solver optimized for GPUs.

ThunderSVM: A Fast SVM Library on GPUs and CPUs

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

Execution primitives for C++

A community run, 5-day PyTorch Deep Learning Bootcamp

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

A Neural Network Toolkit.

source code for paper "Deep Discrete Supervised Hashing"

pytorch knn [cuda version]

An interval arithmetic and affine arithmetic library for NVIDIA CUDA

py-faster-rcnn that can compile on windows directly

PyTorch 1.0 implementation of the approximate Earth Mover's Distance

Dragon: A Computation Graph Virtual Machine Based Deep Learning Framework.

A C++ Compute/Graphics Library and Toolchain enabling same-source CUDA/Host/Metal/OpenCL/Vulkan C++ programming and execution.

JCuda - Java bindings for CUDA

A structured light scanner

A library for high performance deep learning inference on NVIDIA GPUs.

World's fastest and most advanced password recovery utility

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