Testing speed of two GPU's vs. one GPU
-
Updated
Feb 26, 2019 - Python
Testing speed of two GPU's vs. one GPU
performance test of MNIST hand writings usign MXNet + TF
This project aims to help people implement tensorflow model pipelines quickly for different nlp tasks.
Simple Multi-GPU Implementation of ResNet in Tensorflow
Frustum PointNets for 3D Object Detection from RGB-D Data
TransCorpus is a scalable toolkit for large-scale, parallel translation and preprocessing of text corpora, built for language model pretraining and research.
Robust distributed checkpointing and job management system for multi-GPU SLURM workloads
# Unified LQG-QFT Framework Supporting LQG FTL Metric Engineering
Clara AI System - Machine learning with continuous training, multi-GPU support and QLoRA fine-tuning
👤 Implement face recognition using TensorFlow, featuring advanced techniques for accurate identification and clustering of faces in images.
How to train a model on multiple GPUs using TF Estimator API
image retrieval with cosine metric learning
NVIDIA GPU compute task scheduling utility
[CVPR 2015] FaceNet: A Unified Embedding for Face Recognition and Clustering
running multiple darknet models in parallel in multi-gpu setup
MelGAN Multi GPU Implementation.
Utilities for making TensorFlow easier
Add a description, image, and links to the multi-gpu topic page so that developers can more easily learn about it.
To associate your repository with the multi-gpu topic, visit your repo's landing page and select "manage topics."