autoencoders topic

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily config...

nmichlo

Implementation of autoencoders in PyTorch

wanglouis49

Implementation of simple autoencoders networks with Keras

nathanhubens

A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.

pcko1

Network-to-Network Translation with Conditional Invertible Neural Networks

CompVis

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders,...

curiousily

TensorFlow 101: Introduction to Deep Learning

serengil

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

khanhnamle1994

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

vuptran

The code for the MaD TwinNet. Demo page:

dr-costas