Find closest matches of text content based on embeddings from neural networks
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Updated
Jan 18, 2022 - Python
Find closest matches of text content based on embeddings from neural networks
Make your own "Teachable Machine" using transfer learning with MobileNet v3 in TensorFlow.js & a saved graph model from TFHub.
Using pre-trained models to create crude object detection models
Using TFHub Modules for Classification
Detect Landmarks similar to Google Lens using TensorFlow Hub
classification and segmentation of retinal scans
Build a simple text classifier with TF-Hub
A repo to Fine Tune BERT and use it for text classification.
MobileNet V2 Transfer Learning with TensorFlow.js
A tensorflow.js wrapper for ESRGAN based on the ESRGAN paper. Zoom and enhance like they do in the movies with nodeJS!
Export and optimize Tensorflow Hub models for inference and deployment
Used Tensorflow and Keras Framework
Multiclass Intent Classification using MLP, LSTM, and BERT (subtask: Topic Modelling).
Conversion of TF-Lite model from ZERO-DCE model
Build and fine-tune your Image Classifier using a Vision Transformer Model from TensorFlow Hub
American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.
MIRNet model is used to enhance a low-light image. Implemented MIR-Net model with TF-Lite.
Presents an optimized Apache Beam pipeline for generating sentence embeddings (runnable on Cloud Dataflow).
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