Example CNN on CIFAR-10 classification

Python interface to CUDA Multi-Process Service

A multilayer LSTM network with MXNet.

Macrospin simulations using PyOpenCL for GPU paralellization

PyCUDA based implementation of 21cmFAST

GPU programming using CUDA & Python

A simple framework for running local TensorFlow experiments on GPU-enabled cloud instances with minimal fuss.

Train a neural network to steer a car through a simulation autonomously.

Source code and datasets of G.A.M.E. - GPU-Accelerated Mixture Elucidator

Monitoring of a GPU system sending either Slack or Mattermost messages via webhooks

MPI Parallel framework for training deep learning models built in Theano

This repository is based on https://connor-johnson.com/2014/03/20/simple-kriging-in-python/

TensorFlow测试多GPU并行处理

A Nextflow workflow that utilizes GPU enabled Singularity containers to process scRNA-seq data

GPU accerarated K-means, and similarity ranking engine

Auto-generates X configuration for installed GPUs, based on *your* rules

Deep learning for image classification via transfer learning using Keras, PyTorch, and MXNet on Cloudera Data Science Workbench

Python OpenCL numerical simulation