tensorflow-datasets
Here are 44 public repositories matching this topic...
A framework for training and evaluating a transformer with scaled dot product attention on a tensorflow dataset.
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Jul 19, 2021 - Python
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May 4, 2023 - Jupyter Notebook
We are going to use CPU for Extract , Transform and Load, and GPU for training model parallelly
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Mar 9, 2020 - Jupyter Notebook
Classifying citrus leaf images based on disease type using Convolutional Neural Networks(CNNs).
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Feb 19, 2024 - Jupyter Notebook
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.
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Dec 18, 2022 - Jupyter Notebook
Using Keras models and datasets to build custom prediction models
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Mar 22, 2023 - Jupyter Notebook
Library aiding testing of models resicilience to adverasial attacks. Created as a part of Bachelor's Thesis.
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Mar 24, 2023 - Python
It's a sample project for a recommender system using TensorFlow
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May 27, 2021 - Jupyter Notebook
ZnH5MD - High Performance Interface for H5MD Trajectories
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Jun 21, 2024 - Python
Tf dataset Citrus_leaves is demonstrated for the Data Augmentation deep learning.
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Feb 6, 2022 - Jupyter Notebook
TensorFlow implementation of Deep Convolutional Generative Adversarial Networks
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Mar 4, 2019 - Python
You can freely purchase the block from:
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Apr 28, 2020 - Python
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.
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Jan 5, 2022 - Jupyter Notebook
building recommendation system using TensorFlow Recommenders
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Mar 11, 2022 - Jupyter Notebook
The repository contains the materials discussed in part 1 of the Image Classification with YonoHub & Tensorflow V2.0 Series
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May 30, 2020 - Arc
High-level API for tar-based dataset
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Feb 3, 2024 - Python
Demo of data augmentation: a technique to increase the diversity of your training set by applying random (but realistic) transformations, such as image rotation
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Feb 3, 2022 - Jupyter Notebook
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.
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Jan 26, 2023 - Jupyter Notebook
Scripts used in experiments to develop models for image classification
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Feb 17, 2024 - Python
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