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)

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.

Presents an optimized Apache Beam pipeline for generating sentence embeddings (runnable on Cloud Dataflow).

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

MobileNet V2 Transfer Learning with TensorFlow.js

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).

A tensorflow.js wrapper for ESRGAN based on the ESRGAN paper. Zoom and enhance like they do in the movies with nodeJS!

A repo to Fine Tune BERT and use it for text classification.

Build a simple text classifier with TF-Hub

Detect Landmarks similar to Google Lens using TensorFlow Hub

simple project using BERT to classify movies reviews between positive and negative, where the model will run on data without processing once and with processing

classification and segmentation of retinal scans

Using pre-trained models to create crude object detection models

Find closest matches of text content based on embeddings from neural networks