Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

• UpdatedDec 18, 2018
• Python

PyTorch dataset extended with map, cache etc. (tensorflow.data like)

• UpdatedJun 13, 2022
• Python

<개발자를 위한 머신러닝&딥러닝> 도서의 코드 저장소

• UpdatedAug 7, 2024
• Jupyter Notebook

Here's the code associated with my Machine Learning (ML) based hurricane forecasting system

• UpdatedMar 22, 2021
• Jupyter Notebook

Code relevant for training, evaluating, assessing, and deploying CNNs for image classification and segmentation of Digital Mammography images

• UpdatedMar 31, 2023
• Jupyter Notebook

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

• UpdatedApr 2, 2019
• Python

An image augmentation library for tensorflow. It can be used seamlessly with tf.data.Dataset

• UpdatedAug 20, 2022
• Python

• UpdatedNov 11, 2021
• Python

TinyML project. This system monitors your room or surrounding with an onboard microphone of Arduino nano BLE sense. Still Under Developement

• UpdatedOct 18, 2021
• Jupyter Notebook

TensorFlow 2 Toolkit for Sequence-level Text Recognition that simplifies the process of importing, handling, and visualizing sequence data, as well as providing most used loss functions and evaluation metrics in the development of Sequence Text Recognition models

• UpdatedJun 24, 2024
• Python

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.

• UpdatedSep 19, 2022
• Python

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.

• UpdatedAug 29, 2022
• Python

Convolutional Denoising Autoencoder for low light image denoising

• UpdatedMay 27, 2019
• Jupyter Notebook

A web app designed for identifying different disseases for a specific crop

• UpdatedJul 20, 2022
• Python

A simple implementation AlexNet

• UpdatedJul 18, 2018
• Python

A library to help with the development of AI models with Keras, with a focus on edge / IoT applications. Based originally onhttps://github.com/yingkaisha/keras-unet-collection

• UpdatedFeb 21, 2023
• Python

Streamlit Demo of CIFAR10 Data Classifiers

• UpdatedDec 21, 2023
• Python

IMDB sentiment analysis with Keras RNNs (LSTM/GRU). Within-batch padding, bucketing, embeddings, and masking for efficient, accurate training.

• UpdatedSep 23, 2025
• Jupyter Notebook

Practical guide to building high-performance data pipelines in TensorFlow using the tf.data API. Covers dataset creation, preprocessing, shuffling, batching, caching, and prefetching with AUTOTUNE to maximize training throughput and hardware utilization.

• UpdatedAug 17, 2025
• Jupyter Notebook

Visual debugging of an MNIST MLP with low-level TensorFlow 2 using tf.data + TensorBoard (scalars, histograms, images)

• UpdatedSep 23, 2025
• Jupyter Notebook