415 Open source projects that are alternatives of or similar to Softmax Splatting

This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"

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

A simplified implemention of Faster R-CNN that replicate performance from origin paper

A Simple & Flexible Cross Framework Operators Toolkit

A fast Clojure Tensor & Deep Learning library

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

BitCracker is the first open source password cracking tool for memory units encrypted with BitLocker

This is a list of useful libraries and resources for CUDA development.

deformable_conv2d layer implemented in pytorch

Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.

SDK for GPU accelerated genome assembly and analysis

Your 🔵 Superintelligence

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.

Implementation of Newcombe et al. CVPR 2015 DynamicFusion paper

TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA

Implementation of the KinectFusion approach in modern C++14 and CUDA

Introduction to Parallel Programming class code

PopSift is an implementation of the SIFT algorithm in CUDA.

Clojure library for CUDA development

Script to remotely check GPU servers for free GPUs

Tutorial for using Singularity containers

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

A C++ Cuda Tensor Lazy Computing Library

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

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:

Examples of C# code compiled to GPU by hybridizer

A fast (?) random sampling drawing library

Torch7 bindings for cuda-convnet2 kernels!

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

Extension package for spatial propagation network in pytorch.

Chainer implementation of waifu2x

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

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

A structured light scanner

Simple tool to calculate sha256 on GPU using Cuda

N body gravity attraction problem solver

Julia wrapper for CUDA runtime API

High-performance Vision library in Python. Scale your research, not boilerplate.

an implementation of parallel linear BVH (LBVH) on GPU

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

OneFlow is a performance-centered and open-source deep learning framework.

Open3D: A Modern Library for 3D Data Processing

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

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

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

💥💻💥 A data-parallel functional programming language

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

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

Lane depertaure and Yolo objection detection C++ Linux

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

Kernel Tuning Toolkit

Image-processing software for cryo-electron microscopy

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

HIP: C++ Heterogeneous-Compute Interface for Portability

Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.

Sparse Optimisation Research Code

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

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