Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
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Updated
Dec 18, 2018 - Python
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
Example to load, train, and evaluate ImageNet2012 dataset on a Keras model
An image augmentation library for tensorflow. It can be used seamlessly with tf.data.Dataset
Multi-task classification project, with the custom training loop implemented from scratch in TF 2.2+ and the usage of "tf.data.Dataset" object for handling the data.
A web app designed for identifying different disseases for a specific crop
A library to help with the development of AI models with Keras, with a focus on edge / IoT applications. Based originally on https://github.com/yingkaisha/keras-unet-collection
A simple implementation AlexNet
Computer Vision project, built around Convolutional neural network (CNN) for multi-class classification. The project represents an attempt to build modular, OOP approach with an example of how to use modules on MNIST 10-class classification.
Streamlit Demo of CIFAR10 Data Classifiers
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