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

NVIDIA GPU Kurulumu

DenseCRF in TensorFlow

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

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

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.

This project develops forecasting models for monitoring forest health, focusing on Larch Casebearer damage using Yolov8 models, with a focus on evaluating the environmental impact of the training process

Explore the implementation of CNN with a color image dataset (Project 1)

GW Detection Code Using Multiple GPU Cards for the Training

A minimal docker-compose setup for deploying gpu-computing environments.

The software stack for RANGER: A semi-autonomous UAV+UGV robot. Includes the stacks for Multi-Cam Computer Vision, LiDAR SLAM, Sensor Fusion, and Control.

Simple Multi-GPU Implementation of ResNet in Tensorflow

Dockerfile from official tensorflow r1.12 GPU/Python3/Jupyter image with some additions: OpenCV, Graphviz, etc.

A Python program that prints out information about the Python environment, including the platform, versions of various packages, and whether a GPU is available for use.

transfer learning with tensorflow 2

With this docker image, you can use your GPU to run train your Neural_Networks with TensorFlow