A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
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Updated
Jun 20, 2024 - Jupyter Notebook
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
Try to use tf.estimator and tf.data together to train a cnn model.
Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944
Building an image classifier in TF2
TensorFlow 2.0 implementation of Improved Training of Wasserstein GANs
Libraries for efficient and scalable group-structured dataset pipelines.
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tiny-imagenet dataset downloader & reader using tensorflow_datasets (tfds) api
A collection of Korean Text Datasets ready to use using Tensorflow-Datasets.
A library that includes Keras 3 preprocessing and augmentation layers, providing support for various data types such as images, labels, bounding boxes, segmentation masks, and more.
Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets
Re-implementation of Word2Vec using Tensorflow v2 Estimators and Datasets
High-level API for tar-based dataset
GPU Optimized AlexNet Implementation to train on ImageNet 2012 using Tensorflow 2.x
Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets
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.
Example to load, train, and evaluate ImageNet2012 dataset on a Keras model
This repository contains the exercise notebooks for the Data Pipelines with TensorFlow Data Services (Coursera) course.
ZnH5MD - High Performance Interface for H5MD Trajectories
Build MAXELLA App to recommend Movies using TensorFlow Recommenders (TFRS)
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