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Top 17 autoencoders open source projects

Thio - a playground for real-time anomaly detection

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python machine-learning lstm autoencoders anomaly-detection

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

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python metrics pytorch vae metric-learning datasets representation-learning configurable autoencoders disentanglement disentangled-representations pytorch-lightning

PCA and autoencoders

Dimensionality reduction

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Jupyter Notebook pca-analysis neural-networks autoencoders

StackedDAE

Stacked Denoising AutoEncoder based on TensorFlow

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python r bioinformatics deep-neural-networks tensorflow autoencoders single-cell-rna-seq

adage

Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016

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python r shell data machine-learning research paper gene-expression dataset neural-networks methodology manuscript autoencoders denoising-autoencoders pseudomonas-aeruginosa supplement

CAE-ADMM

CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders

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python shell pytorch model-architecture image-compression admm autoencoders network-pruning lossy-image-compression

autoencoder based image compression

Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371

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C++python HTML TeX c javascript image-compression quantization autoencoders

autoencoders tensorflow

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

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python machine-learning deep-learning tensorflow keras feature-extraction autoencoder bayesian-inference representation-learning feature-engineering autoencoders

Deep-Drug-Coder

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

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python Jupyter Notebook neural-network drug-discovery molecules autoencoders lstm-neural-networks denovo-design smiles-strings

continuous Bernoulli

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

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