A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
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Updated
May 24, 2024 - C++
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Korean OCR Model Design(한글 OCR 모델 설계)
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.
DockerFile with GPU support for TensorFlow and OpenCV
An AI chatbot built using SEQ2SEQ Model
Deep Neural Networks for Call Of Duty Modern Warfare 2019
Proof of Concept for porting MRST to PyTorch
Training LSTMs on GPUs simplified with Keras, Docker and Azure
Repository containing scripts to train and test a neural network whose goal is to detect presence of COVID-19
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)
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!!
A web application that Identifies the breed of a dog given an image of a dog.
Tensorflow Object Detection API for People Detection
Dockerfile from official tensorflow r1.12 GPU/Python3/Jupyter image with some additions: OpenCV, Graphviz, etc.
ALL about TensorFlow and GPU
Attempt to clone SyntaxNet using only Python, with GPU support
Simple Multi-GPU Implementation of ResNet in Tensorflow
Traffic Sign Classifier Project by Ryan Kladar
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