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The Top 23 Neural Network Variational Autoencoder Open Source Projects

Open source projects categorized as Neural Network Variational Autoencoder
Categories > Machine Learning > Neural Network
Categories > Machine Learning > Variational Autoencoder
Neurec ⭐ 861
Next RecSys Library
total releases 1most recent commit 2 years ago
Bayesiandeeplearning Survey ⭐ 475
Bayesian Deep Learning: A Survey
most recent commit 4 months ago
Good Papers ⭐ 231
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
most recent commit 5 years ago
Bnaf ⭐ 142
Pytorch implementation of Block Neural Autoregressive Flow
most recent commit 3 years ago
Kvae ⭐ 94
Kalman Variational Auto-Encoder
most recent commit 5 years ago
Smrt ⭐ 94
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
most recent commit 5 years ago
Deep Learning For Clustering In Bioinformatics ⭐ 62
Deep Learning-based Clustering Approaches for Bioinformatics
most recent commit 3 years ago
Awesome Denovo Papers ⭐ 53
Awesome De novo drugs design papers
most recent commit 5 months ago
Li_emnlp_2017 ⭐ 51
Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet
most recent commit 6 years ago
Artificialintelligenceengines ⭐ 48
Computer code collated for use with Artificial Intelligence Engines book by JV Stone
most recent commit a year ago
Midi Vae ⭐ 36
most recent commit 5 years ago
Numpy Nn Model ⭐ 32
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
most recent commit 4 months ago
Vgrnn ⭐ 24
Variational Graph Recurrent Neural Networks - PyTorch
most recent commit 4 years ago
Tensorflow_deep_learning_models ⭐ 23
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
most recent commit 6 years ago
Classifying Vae Lstm ⭐ 18
music generation with a classifying variational autoencoder (VAE) and LSTM
most recent commit 5 years ago
Haskell Vae ⭐ 17
Learning about Haskell with Variational Autoencoders
most recent commit 4 years ago
Probaforms ⭐ 16
Conditional normalizing flows (NFs), conditional GANs, and conditional variational autoencoders (CVAEs) with sklearn-like interface
most recent commit 8 months ago
Gd Vae ⭐ 15
Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.
most recent commit 8 months ago
Generic Expression Patterns ⭐ 11
Distinguishing between generic and experiment-specific gene expression signals.
most recent commit a year ago
Label Free Xai ⭐ 10
This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For more details, please read our ICML 2022 paper: 'Label-Free Explainability for Unsupervised Models'.
most recent commit 2 years ago
Deep_music ⭐ 9
Recurrent neural network in TensorFlow for generating novel monophonic melodies.
most recent commit 5 years ago
Aiqn Vae ⭐ 9
VAE + Quantile Networks for MNIST
most recent commit 5 years ago
Variational Autoencoder For Novelty Detection ⭐ 6
A Variational AutoEncoder implemented with Keras and used to perform Novelty Detection with the EMNIST-Letters Dataset.
most recent commit 6 years ago
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