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The Top 23 Variational Autoencoder Open Source Projects

Open source projects categorized as Variational Autoencoder
Categories > Machine Learning > Variational Autoencoder
Vae_householder_flow ⭐ 53
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
most recent commit 7 years ago
Avgn ⭐ 52
A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.
most recent commit 3 years ago
Multimodal Vae Public ⭐ 52
A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
most recent commit 6 years ago
Stcn ⭐ 51
STCN: Stochastic Temporal Convolutional Networks
most recent commit 4 years ago
Li_emnlp_2017 ⭐ 51
Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet
most recent commit 6 years ago
Vae_tacotron2 ⭐ 51
VAE Tacotron 2, an alternative of GST Tacotron
most recent commit 4 years ago
How_to_generate_images_with_tensorflow_live ⭐ 49
most recent commit 7 years ago
Openvae_continuallearning ⭐ 49
Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
most recent commit 2 years ago
Bagel ⭐ 49
IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder
most recent commit 4 years ago
Variationaldeepsemantichashing ⭐ 48
The original implementation of the models and experiments of Variational Deep Semantic Hashing paper (SIGIR 2017)
most recent commit 5 years ago
Class Incremental Learning ⭐ 48
PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).
most recent commit a year ago
Artificialintelligenceengines ⭐ 48
Computer code collated for use with Artificial Intelligence Engines book by JV Stone
most recent commit a year ago
Variational Sparse Coding ⭐ 47
Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
most recent commit a year ago
Vae Pytorch ⭐ 46
AE and VAE Playground in PyTorch
most recent commit 6 years ago
Vae Concrete ⭐ 46
Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution
most recent commit 7 years ago
Move ⭐ 44
MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
total releases 21most recent commit 3 months ago
Vae_protein_function ⭐ 44
Protein function prediction using a variational autoencoder
most recent commit 6 years ago
Scipy2015 ⭐ 44
Talk for SciPy2015 "Deep Learning: Tips From The Road"
most recent commit 9 years ago
Source Filter Vae ⭐ 42
Learning and controlling the source-filter representation of speech with a variational autoencoder
most recent commit a year ago
Scar ⭐ 41
scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
most recent commit 5 months ago
Pyroved ⭐ 41
Invariant representation learning from imaging and spectral data
total releases 10most recent commit 3 months ago
Wae Rnf Lm ⭐ 40
Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399
most recent commit 4 years ago
Autoencoders Variants ⭐ 40
Pytorch implementations of various types of autoencoders
most recent commit 5 years ago
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