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An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
Presents an optimized Apache Beam pipeline for generating sentence embeddings (runnable on Cloud Dataflow).
MIRNet model is used to enhance a low-light image. Implemented MIR-Net model with TF-Lite.
American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.
This repository hosts code for converting the original MLP Mixer models (JAX) to TensorFlow.
Build and fine-tune your Image Classifier using a Vision Transformer Model from TensorFlow Hub
Conversion of TF-Lite model from ZERO-DCE model
Multiclass Intent Classification using MLP, LSTM, and BERT (subtask: Topic Modelling).
Export and optimize Tensorflow Hub models for inference and deployment
A tensorflow.js wrapper for ESRGAN based on the ESRGAN paper. Zoom and enhance like they do in the movies with nodeJS!
Used Tensorflow and Keras Framework
A repo to Fine Tune BERT and use it for text classification.
MobileNet V2 Transfer Learning with TensorFlow.js
Detect Landmarks similar to Google Lens using TensorFlow Hub
classification and segmentation of retinal scans
Using pre-trained models to create crude object detection models
Using TFHub Modules for Classification
Find closest matches of text content based on embeddings from neural networks