Google USE (Universal Sentence Encoder) for spaCy

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.

Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.

NPS sentiment analysis

Find similar sentences using Tensorflow Hub for English Wikipedia

This project shows step-by-step guide on how to build a real-world flower classifier of 102 flower types using TensorFlow, Amazon SageMaker, Docker and Python in a Jupyter Notebook.

Google MobileObjectLocalizerのPythonでの動作サンプル。ONNXに変換したモデルも同梱。

Face Expression Recognition with ensemble for InceptionV3, ResNet50, MobileNetV2

Use Huggingface Transformer and Tokenizers as Tensorflow Reusable SavedModels

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

Next Word Prediction using Google's Universal Sentence Encoder from Tensorflow hub. lol

Use transfer learning to play with an dataset for Industrial Optical Inspection

State Farm Distracted Driver Detection via Image Classification

A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.

one-style and multi-style custom neural transformation

Semantic Textual Similarity between two document

This repository contains notebooks from the Coursera specialization TensorFlow: Data and Deployment.

I go on a journey to find a representative set of images in my photo album. This takes me through basic tools (similar to those that solve the Document distance problem) and some deep learning tools as well.