458 Open source projects that are alternatives of or similar to Aurora

TensorFlow builds compiled on windows with avx and avx2 extensions

Learning resources to develop skills across the frontend and related areas. PR's are welcome!

LightSeq: A High Performance Inference Library for Sequence Processing and Generation

My CS learning : algorithm, data structure, and system design | #SE

Simulating on GPU using Material Point Method and rendering.

pnn is Darknet compatible neural nets inference engine implemented in Rust.

🌀 Oxygen Engine 2.0. [Preview] Discord: https://discord.gg/P3aMf66

No description or website provided.

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.

Learn how to design a system from tech company blogs 系统设计博客

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

No description or website provided.

Deep learning with cats (^._.^)

技术面试必备知识点：Android、Java、C、C++、Python、Flutter、Gradle、数据结构、计算机组成原理、计算机网络、操作系统、算法、数据结构、设计模式、密码学等等

Open3D: A Modern Library for 3D Data Processing

Go Bindings for cudnn and other cuda pacakges.

Implementation of a simple CNN using CUDA

Fuse multiple depth frames into a TSDF voxel volume.

OptiX Path Tracer

Simple tool to calculate sha256 on GPU using Cuda

[内测中]前向式Python环境快捷封装工具，快速将Python打包为EXE并添加CUDA、NoAVX等支持。

Data visualisation in Python based on OptiX 7.2 ray tracing framework.

DES cracking using brute force algorithm and CUDA

Squeeze-and-Excitation Networks

H2Oai GPU Edition

My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.

Allstate Kaggle Competition ML Capstone Project

package cu provides an idiomatic interface to the CUDA Driver API.

A CUDNN minimal deep learning training code sample using LeNet.

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

CUDA-accelerated GIS and spatiotemporal algorithms

Fast parallel CTC.

a reimplementation of Holistically-Nested Edge Detection in PyTorch

K-Nearest Neighbor in Pytorch

Modified nVidia .inf files to run drivers on all video cards, research & telemetry free drivers

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

TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification

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

Image-processing software for cryo-electron microscopy

Integral Human Pose Regression

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

Haste: a fast, simple, and open RNN library

GA-Net: Guided Aggregation Net for End-to-end Stereo Matching

HIP: C++ Heterogeneous-Compute Interface for Portability

Bregman ADMM for mass transportation on GPU

C++ library for solving large sparse linear systems with algebraic multigrid method

A simple GPU hash table implemented in CUDA using lock free techniques

CME 213 Class Material

A UNIVERSAL MUSIC TRANSLATION NETWORK - a method for translating music across musical instruments and styles.

Deep Learning library using GPU(CUDA/cuBLAS)

Weighted Softmax Loss Layer for Caffe

A community run, 5-day PyTorch Deep Learning Bootcamp

ICCV2015 Image Super-Resolution Using Deep Convolutional Networks

@ICCV2017: For exploiting second-order statistics, we propose Matrix Power Normalized Covariance pooling (MPN-COV) ConvNets, different from and outperforming those using global average pooling.

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Preparation links and resources for system design questions

Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees