MobileNet build with Tensorflow

Gradually-Warmup Learning Rate Scheduler for PyTorch

code for py-R-FCN-multiGPU maintained by bupt-priv

TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software

CRNN(Convolutional Recurrent Neural Network), with optional STN(Spatial Transformer Network), in Tensorflow, multi-gpu supported.

OpenGL sample for the new GL_NVX_linked_gpu_multicast extension

Custom Iterable Dataset Class for Large-Scale Data Loading

⚡ LLaMA-2 model experiment

multi_gpu_infer 多gpu预测 multiprocessing or subprocessing

This helps you to submit job with multinode & multgpu in Slurm in Torchrun

Python interface to the NVIDIA CublasXt API

asynchoronous learning example working inside localhost

Recommendation Engine powered by Matrix Factorization.

Keras light-weight model for sketch images classification using Quick!Draw dataset

Engineering thesis project tackling path tracing in a remote, multi-GPU environment.

Distributed_compy is a distributed computing library that offers multi-threading, heterogeneous (CPU + mult-GPU), and multi-node support

Leveraging Structural Indexes for High-Performance JSON Data Processing on GPUs

Benchmarks for Multi-GPU Communication with MVAPICH2

PyTorch original implementation of Cross-lingual Language Model Pretraining.