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VOOZH | about |
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.
Korean OCR Model Design(한글 OCR 모델 설계)
Deep Neural Networks for Call Of Duty Modern Warfare 2019
An AI chatbot built using SEQ2SEQ Model
GPU Native for Node.js - A new era is dawning - 2025.09.15
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
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!!
A Vagrantfile to provision a gpu instance installed tensorflow-gpu on EC2
Deep Learning Face Detection and Verification
Training LSTMs on GPUs simplified with Keras, Docker and Azure
A python module for running code on cloud GPUs
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.
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