A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

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, reducing data transfer overhead.

Deep Neural Networks for Call Of Duty Modern Warfare 2019

Korean OCR Model Design(한글 OCR 모델 설계)

Repository containing scripts to train and test a neural network whose goal is to detect presence of COVID-19

DenseCRF in TensorFlow

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

Proof of Concept for porting MRST to PyTorch

A Vagrantfile to provision a gpu instance installed tensorflow-gpu on EC2

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 Google Drive, clone repo and jump right in!!

Training LSTMs on GPUs simplified with Keras, Docker and Azure

Deep Learning Face Detection and Verification

GPU builds of TensorFlow 1.2+ for Mac

A python module for running code on cloud GPUs

Use Fully Convolutional Nets to identify segments of image as drivable road

Collection of information about GPUs suited for Large Language Model tasks.

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.