tensorflow-datasets

secsilm/understaing-datasets-estimators-tfrecords

Try to use tf.estimator and tf.data together to train a cnn model.

captain-pool/GSOC

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

himanshurawlani/practical_intro_to_tf2

Building an image classifier in TF2

drewszurko/tensorflow-WGAN-GP

TensorFlow 2.0 implementation of Improved Training of Wasserstein GANs

google-parfait/dataset_grouper

Libraries for efficient and scalable group-structured dataset pipelines.

larq/zookeeper

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

ksachdeva/tiny-imagenet-tfds

tiny-imagenet dataset downloader & reader using tensorflow_datasets (tfds) api

jeongukjae/tfds-korean

A collection of Korean Text Datasets ready to use using Tensorflow-Datasets.

james77777778/keras-aug

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.

franneck94/TensorCross

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

akb89/word2vec

Re-implementation of Word2Vec using Tensorflow v2 Estimators and Datasets

animikhaich/AlexNet-Tensorflow

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

npuichigo/tarzan

High-level API for tar-based dataset

sheatsley/datasets

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

juvchan/amazon-sagemaker-tensorflow-custom-containers

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.

mostafaelhoushi/keras-imagenet

Example to load, train, and evaluate ImageNet2012 dataset on a Keras model

akthammomani/MAXELLA-APP-Movies-Tensorflow-Recommenders-TFRS

Build MAXELLA App to recommend Movies using TensorFlow Recommenders (TFRS)

sayakpaul/Data-Pipelines-with-TensorFlow-Data-Services-Exercises

This repository contains the exercise notebooks for the Data Pipelines with TensorFlow Data Services (Coursera) course.

zincware/ZnH5MD

ZnH5MD - High Performance Interface for H5MD Trajectories

animikhaich/VGGNet-Tensorflow

VGGNet-Family (11, 13, 16 & 19) Implementation to train on ImageNet 2012 using Tensorflow 2.x

FlafyDev/emoji-drawings

Emoji Drawings dataset

santhoshkolloju/TfRecordPytorch

tfrecord

petrov826/tfrs

building recommendation system using TensorFlow Recommenders

adil-imran/Data-Augmentation---Deep-Learning

Tf dataset Citrus_leaves is demonstrated for the Data Augmentation deep learning.

ChanchalKumarMaji/Google-Summer-of-Code-2019

Google Summer of Code - 2019

Micky373/AI_projects

I've completed a number of deep learning and machine learning projects in this repository. In the future, I'll be adding other projects as well. The majority of the data was gathered from Kaggle, TensorFlow datasets, and other places that offer free data. In order to create my models, I used the Google Colab environment.

Micky373/potato_disease_classification_using_deep_learning

In this project I trained a CNN model and predicted three types of potato leaf. Either the potato may be healthy or has an early blight disease or late blight disase. The model has good accuracy on these 3 classes. But it is accepting only images of size (256,256) if we pass images other than that shape it won't work.

novasush/Parallelization-with-TFDS

We are going to use CPU for Extract , Transform and Load, and GPU for training model parallelly

sitamgithub-MSIT/MalDetect

A Deep Learning application for Malaria Detection

VikramjitSinghRathee/Convolutional-Neural-Network-from-Scratch-for-Crop-Disease-Classification---Agriculture-Domain

Create Convolutional Neural Network from scratch with potato disease classification. App will allow farmers to snap a picture of a plant and determine whether the plant has a disease or not.

VikramjitSinghRathee/Finetuning-with-Pre_Trained-Mobilenet_v2-for-Crop-Disease-Classification---Agriculture-Domain

Utilize mobilenet_v2 and Finetune it with potato disease image dataset (3 classes). App will allow farmers to snap a picture of a plant and determine whether the plant has a disease or not.

YonoHub/Introducing-TensorFlow-Datasets-in-YonoHub-Suit

The repository contains the materials discussed in part 1 of the Image Classification with YonoHub & Tensorflow V2.0 Series

bhatt-j/Clothing-Image-Recognition

polaternez/citrus-diseases-detection

Classifying citrus leaf images based on disease type using Convolutional Neural Networks(CNNs).

zakideep/Object-detection_model_with_transfer_learning-

The goal of this project is to develop an object detection model using the KITTI dataset, sourced from TensorFlow Datasets. This project will leverage Python and the TensorFlow library to build, train, and evaluate the model, focusing on detecting various objects in urban street scenes as captured in the KITTI dataset using Transfer Learning.