Keras Tensorflow Python Packages

deepcut

A Thai word tokenization library using Deep Neural Network

segmentation-models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

labml

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

keras-unet

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

talos

Hyperparameter Experiments with TensorFlow and Keras

fedn

Scaleout Edge: Sovereign Edge AI orchestration and Federated Learning

orthoseg

Train your own neural networks to segment orthophotos.

coral-ordinal

Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

dynastes

A collection of layers, ops, utilities and more for TensorFlow 2.0 high-level API Keras

scaleout

Scaleout Edge: Sovereign Edge AI orchestration and Federated Learning

neuralfit

🦖 A fast & simple neuro-evolution library for Python

labml-app

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

deel-lip

Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers

darkneurons

This Library will deal with the implementation of Automatic Deep Learning which can reduce the time and Complexity for non-technical users and Specialists in this field to train their own networks with significant accuracies and can perform Image Classification, Object Detection and hybridization of Models.

easy-tensorflow

Easy Tensorflow/Keras feature Preprocessing Pipelines

inferpy

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

kerasmodelmanager

A wrapper for Keras models

extra-keras-datasets

📃🎉 Additional datasets for tensorflow.keras

decavision

Python package to help train image classification deep neural networks for generic datasets. Especially powerful when using with TPUs. The main advantages of the package is that is leverages the tfrecords format for the data along with transfer learning and hyperparameter optimization for model training.

pytorch2keras

PyTorch to Keras model convertor

keras-konverter

Convert simple Keras models to pure Python 🐍+ NumPy

xtreme-vision

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

uncertainty-wizard

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

ml-dataset

easy used dataset for tf.keras, pytorch .etc