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

This project is an old code for Chinese words split. It is written by CUDA at 2010, so it could not run well directly under you platform without an GPU card.

Simple tool to calculate sha256 on GPU using Cuda

an implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch

Implementation of a simple CNN using CUDA

an implementation of parallel linear BVH (LBVH) on GPU

Real-time dense visual SLAM system

Generate displacement fields with known volume changes

Cooperative primitives for CUDA C++.

An efficient C++17 GPU numerical computing library with Python-like syntax

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

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

GraphVite: A General and High-performance Graph Embedding System

Implementation of Macklin, Miles, and Matthias Müller. "Position based fluids.". Visual Studio 2015 + CUDA 8.0

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

Lane depertaure and Yolo objection detection C++ Linux

An implementation of the RoiAlign operation for Theano

GitHub Action to install CUDA

No description or website provided.

GPU-accelerated Cloth TOP node for TouchDesigner using the NVIDIA Flex physics solver.

3D Spatial Transformer Network

GPU Fluid Simulation with Volumetric Rendering

A fast and highly scalable GPU dynamic memory allocator

FLAME GPU 2 is a GPU accelerated agent based modelling framework for C++ and Python

CUDA implementation of the 2D fast Poisson solver

Lightweight Cuda Renderer with Python Wrapper.

A binary library for very fast face detection using compact CNNs.

Let's jump into CUDA development with Rust

Fast Clojure Matrix Library

GPU Raytracer from scratch in C++/CUDA

Deep learning with cats (^._.^)

BriefMatch real-time GPU optical flow

Fast Point Cloud Segmentation Using Permutohedral Lattices

Several simple examples for popular neural network toolkits calling custom CUDA operators.

A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL)

This repository consists for gpu bootcamp material for HPC and AI

CUDA implementation of the Jacobi method

An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

Weighted MinHash implementation on CUDA (multi-gpu).

No description or website provided.

Real-time video quality improvement for applications such as video-chat using Perceptual Losses

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

Examples demonstrating available options to program multiple GPUs in a single node or a cluster

Clustering spatial points with algorithm of Fast Search, high performace computing implements of CUDA or parallel in CPU, and runnable implements on python standalone or arcgis.

R package for unleashing the power of NVIDIA GPU's

Simple 2d finite volume solver for Euler equations using c++ kokkos library

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

How to write cuda kernels or c functions in pytorch, especially for former caffe users.

Clustering via Graphics Processor, using NVIDIA CUDA sdk to preform database clustering on the massively parallel graphics card processor

Social Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement

label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

Deforming kernels to adapt towards object deformation. In ICLR 2020.

NCCL Tests

🐜 A CUDA based miner for Monero

[ARCHIVED] C GPU DataFrame Library

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

Python bindings for ArrayFire: A general purpose GPU library.