#计算机科学#A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
翻译 - 一个包含高度优化的构建块和执行引擎的库，用于深度学习应用程序中的数据预处理
DockerFile with GPU support for TensorFlow and OpenCV
Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, redu...
#计算机科学#Deep Neural Networks for Call Of Duty Modern Warfare 2019
#计算机科学#Korean OCR Model Design(한글 OCR 모델 설계)
An AI chatbot built using SEQ2SEQ Model
This project contains a set of scripts to facilitate the setup of the Jetson Nano for doing Deep Learning with Tensorflow 2.0 (and also with Coral TPU Edge)
Attempt to clone SyntaxNet using only Python, with GPU support
#计算机科学#Proof of Concept for porting MRST to PyTorch
#计算机科学#Switching from GPU to the future of Machine learning the TPU. Over 1 million images trained Resnet50 in under 20 mins compared to days or weeks on GPU and all for 0$ free on Google Colab Notebooks in ...
A Vagrantfile to provision a gpu instance installed tensorflow-gpu on EC2
#计算机科学#Deep Learning Face Detection and Verification
#时序数据库#Training LSTMs on GPUs simplified with Keras, Docker and Azure
A python module for running code on cloud GPUs
#计算机科学#Use Fully Convolutional Nets to identify segments of image as drivable road
This repository contains the implementation of Tensorflow Keras on detecting various diseases on corn leaves, while comparing the performance of the classification using GPU and CPU.
Explore the implementation of CNN with a color image dataset (Project 1)