486 Open source projects that are alternatives of or similar to Rmm

Experiments with CUDA and Rust

Visual Studio Extension for C++ struct memory layout visualization

Fully Convolutional Instance-aware Semantic Segmentation

Implementation of Newcombe et al. CVPR 2015 DynamicFusion paper

Utilities for CUDA programming

A community run, 5-day PyTorch Deep Learning Bootcamp

Extending JAX with custom C++ and CUDA code

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

Go package for computer vision using OpenCV 4 and beyond.

PopSift is an implementation of the SIFT algorithm in CUDA.

Implementation of a simple CNN using CUDA

Cone Programming Language

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

Script to remotely check GPU servers for free GPUs

DES cracking using brute force algorithm and CUDA

A cross-platform CUDA/C++14 starter project with google test and google benchmark support.

pytorch knn [cuda version]

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

STL compatible C++ memory allocator library using a new RawAllocator concept that is similar to an Allocator but easier to use and write.

Crowdsourcing video experiments (such as collaborative benchmarking and optimization of DNN algorithms) using Collective Knowledge Framework across diverse Android devices provided by volunteers. Results are continuously aggregated in the open repository:

oneAPI Math Kernel Library (oneMKL) Interfaces

A fast (?) random sampling drawing library

GraphVite: A General and High-performance Graph Embedding System

Various C/C++ examples. DirectX, OpenGL, CUDA, Vulkan, OpenCL.

A memory allocator that automatically reduces the memory footprint of C/C++ applications.

Constant-complexity deterministic memory allocator (heap) for hard real-time high-integrity embedded systems

An implementation of the RoiAlign operation for Theano

Lightning fast & tiny C++/CUDA neural network framework

Agenium Scale vectorization library for CPUs and GPUs

Simple tool to calculate sha256 on GPU using Cuda

Simple, zero-dependency garbage collection for C

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

deformable convolution 2D 3D DeformableConvolution DeformConv Modulated Pytorch CUDA

an implementation of parallel linear BVH (LBVH) on GPU

Slides and demo code for past presentations

Generate displacement fields with known volume changes

Fast K-Nearest Neighbor search with GPU

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

CUDA on Intel GPUs

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

ICCV2015 Image Super-Resolution Using Deep Convolutional Networks

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

Lane depertaure and Yolo objection detection C++ Linux

A dataset of 15 million CAD sketches with geometric constraint graphs.

Experimental parallel compression algorithm

Atmospheric fluid dynamics solver optimized for GPUs.

All-in-one mixed multi-GPU (nVidia, AMD, Intel) & CPU miner solves proof of work to mine supported EIP918 tokens in a single instance (with API).

HPC solver for nonlinear optimization problems

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

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

Fork of CUDA GPU memtest 👓

Stream Processing with OCaml

a reimplementation of PWC-Net in PyTorch that matches the official Caffe version

torch data augmentation toolbox (supports affine transform)

Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL

CUDA implementation of the Jacobi method

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

Domain-invariant Stereo Matching Networks

Molecular dynamics and Monte Carlo soft matter simulation on GPUs.