Google USE (Universal Sentence Encoder) for spaCy
-
Updated
Mar 24, 2023 - Python
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.
Face Expression Recognition with ensemble for InceptionV3, ResNet50, MobileNetV2
Use Huggingface Transformer and Tokenizers as Tensorflow Reusable SavedModels
Google MobileObjectLocalizerのPythonでの動作サンプル。ONNXに変換したモデルも同梱。
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
Use transfer learning to play with an dataset for Industrial Optical Inspection
This repository contains notebooks from the Coursera specialization TensorFlow: Data and Deployment.
State Farm Distracted Driver Detection via Image Classification
Next Word Prediction using Google's Universal Sentence Encoder from Tensorflow hub. lol
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
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.
Add a description, image, and links to the tensorflow-hub topic page so that developers can more easily learn about it.
To associate your repository with the tensorflow-hub topic, visit your repo's landing page and select "manage topics."