Image, GIF and Video enlarger/upscaler(super-resolution) achieved with Waifu2x, SRMD, RealSR, Anime4K and ACNet.

The Forge Cross-Platform Rendering Framework PC, Linux, Ray Tracing, macOS / iOS, Android, XBOX, PS4, Switch, Stadia

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Face recognition system for ID photos

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

QUDA is a library for performing calculations in lattice QCD on GPUs.

Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).

A PyTorch implementation of Google's FaceNet [1] paper for training a facial recognition model with Triplet Loss and an implementation of the Shenzhen Institutes of Advanced Technology's 'Center Loss' [2] combined with Cross Entropy Loss using the VGGFace2 dataset. A pre-trained model using Triplet Loss is available for download.

Neutron: A pytorch based implementation of Transformer and its variants.

Multi-GPU training for Keras

Co-attending Regions and Detections for VQA.

Extract I3D, R(2+1)D, VGGish, ResNet-50 features from raw videos using multiple GPUs in parallel

Deep Learning Toolbox for Torch

GPU Framework for Radio Astronomical Image Synthesis

testing multi gpu for pytorch

Deep Neural Network Compression based on Student-Teacher Network

Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid

MelGAN Multi GPU Implementation.

A CUDA-based multi-GPU vertex-centric graph processing framework based on Warp Segmentation and Vertex Refinement techniques.

Utilities for making TensorFlow easier

image retrieval with cosine metric learning

Experimental utility to build stateful RNN models for multi GPU training.

running multiple darknet models in parallel in multi-gpu setup

Graphic Techniques Implemented on The Forge API, a cross-platform rendering framework on top of Vulkan, DirectX, Metal

This project aims to help people implement tensorflow model pipelines quickly for different nlp tasks.

Frustum PointNets for 3D Object Detection from RGB-D Data

Test code for running PyTorch deep learning models using multiple GPUs.

Multi-GPU version of BERT, implemented with Tensorflow 1.9

Measure bandwidth of multiple simultaneously started cudaMemcpyAsync