Semantic Textual Similarity between two document
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Updated
Dec 25, 2019 - Jupyter Notebook
Semantic Textual Similarity between two document
NLP model for recognising sarcastic sentences.
Dog breed identification model to identify and label 120 different dog breeds.
Fast neural style transfer - images
In this repository we use tensorflow hub pretrained modules to detect objects in images and draw bounding boxes around the detected objects using the outputs
Export and optimize Tensorflow Hub models for inference and deployment
A review rating classifier using a DAN encoder, and dense, fully-connected layers
Google MobileObjectLocalizerのPythonでの動作サンプル。ONNXに変換したモデルも同梱。
This repository contains Various Techniques that can be used for object detection.
Text Classification using tensorflow hub
Mini-Project using TensorFlow Hub
Pablo is a webtool to transfer image styles onto an uploaded image using Tensorflow Hub and Google's Magenta library
Neural Style Transfer
Transfer Learning in TensorFlow.
Style Transfer using Tensoflow Hub
qa prototype
Tensorflow & Keras pretraining models deployed on Flask
NLP with disaster tweets
This project was created to provide information on how to add and use the pre-trained food classification model through TensorFlow Hub.
This project is on fine-tuning a Bidirectional Transformers for Language Understanding (BERT) model for text classification with TensorFlow
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