odin-ai

Deep learning for research and production


Keywords
tensorflow, pytorch, machine, learning, neural, networks, deep, bayesian, bayesian-methods, deep-learning, deep-neural-networks, disentangled-representations, disentanglement-learning, factor-vae, generative-model, graph-algorithms, image-processing, machine-learning, natural-language-processing, probabilistic-graphical-models, probabilistic-programming, semi-supervised-learning, speech-processing, text-processing, variational-autoencoder, variational-autoencoders
License
MIT
Install
pip install odin-ai==1.2.5

Documentation

https://readthedocs.org/projects/odin/badge/

O.D.I.N

Orgainzed Digital Intelligent Network (O.D.I.N)

O.D.I.N is a framework for building "Organized Digital Intelligent Networks", it uses Tensorflow to create and manage computational graph.

Its end-to-end design aims for a versatile input-to-output framework, that minimized the burden of repetitive work in machine learning pipeline, and allows researchers to conduct experiments in a faster and more flexible way.