601 Open source projects that are alternatives of or similar to Autodock Gpu

Rust wrapper for ArrayFire

GPU Mersenne primality test.

A flexable HTM (Hierarchical Temporal Memory) framework with full GPU support.

Concurrent CPU-GPU Programming using Task Models

World's fastest and most advanced password recovery utility

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).

ILGPU JIT Compiler for high-performance .Net GPU programs

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

stdgpu: Efficient STL-like Data Structures on the GPU

Cooperative primitives for CUDA C++.

An GPU/CUDA implementation of the Hungarian algorithm

Image recognition and classification using Convolutional Neural Networks with TensorFlow

GraphVite: A General and High-performance Graph Embedding System

K-Nearest Neighbor in Pytorch

Introduction to Parallel Programming class code

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

An implementation of the RoiAlign operation for Theano

Hornet data structure for sparse dynamic graphs and matrices

Bregman ADMM for mass transportation on GPU

Implementation of a few sorting algorithms in OpenCL

Application of machine learning to the Coinbase (GDAX) orderbook

An implementation of MTCNN Face detector using OpenCV's DNN module

Tutorial for using Singularity containers

3D Spatial Transformer Network

Slides and demo code for past presentations

Superpixel SLIC for GPU (CUDA)

18.337 - Parallel Computing and Scientific Machine Learning

Simulation of spiking neural networks (SNNs) using PyTorch.

Collection of Docker images for ML/DL and video processing projects

CUDA implementation of the 2D fast Poisson solver

ADDA - light scattering simulator based on the discrete dipole approximation

CUDA on Intel GPUs

Atmospheric fluid dynamics solver optimized for GPUs.

@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.

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

OpenCL-backed GPU Arrays

Learn OpenCL step by step.

Fast Point Cloud Segmentation Using Permutohedral Lattices

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

Deep Object Co-Segmentation

Simple OpenCL Samples that Build with Khronos Headers and Libs

CUDA implementation of the Jacobi method

CME 213 Class Material

Torch7 bindings for cuda-convnet2 kernels!

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

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

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

R package for unleashing the power of NVIDIA GPU's

source code for paper "Deep Discrete Supervised Hashing"

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

Large octree map construction and rendering with CUDA and OpenGL

An interval arithmetic and affine arithmetic library for NVIDIA CUDA

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

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

N body gravity attraction problem solver

Python interface to GPU-powered libraries

Open deep learning compiler stack for cpu, gpu and specialized accelerators

caffe implementation of "Arbitrary Style Transfer with Deep Feature Reshuffle"