tensorflow-datasets

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.

A small library for managing deep learning models, hyperparameters and datasets

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.

ZnH5MD - High Performance Interface for H5MD Trajectories

Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets

High-level API for tar-based dataset

Re-implementation of Word2Vec using Tensorflow v2 Estimators and Datasets

Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets

From-scratch CNN for binary cat vs. dog image classification, built with TensorFlow/Keras in Google Colab. Includes data augmentation, training curves, and prediction visualization.

GPU Optimized AlexNet Implementation to train on ImageNet 2012 using Tensorflow 2.x

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.

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.