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The Top 23 Jupyter Notebook Variational Autoencoder Open Source Projects

Open source projects categorized as Jupyter Notebook Variational Autoencoder
Categories > Data Processing > Jupyter Notebook
Categories > Machine Learning > Variational Autoencoder
Bayesian Machine Learning ⭐ 1,587
Notebooks about Bayesian methods for machine learning
most recent commit a year ago
Intro_dgm ⭐ 758
An Introduction to Deep Generative Modeling: Examples
most recent commit 3 months ago
Probabilistic_unet ⭐ 400
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
most recent commit 4 years ago
Vae_cf ⭐ 309
Variational autoencoders for collaborative filtering
most recent commit 6 years ago
Generative_models_tutorial_with_demo ⭐ 268
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
most recent commit 5 years ago
Vqvae ⭐ 240
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
most recent commit a year ago
Atomai ⭐ 164
Deep and Machine Learning for Microscopy
dependent packages 1total releases 29most recent commit 4 months agopypi atomai} Downloads
Vde ⭐ 161
Variational Autoencoder for Dimensionality Reduction of Time-Series
most recent commit 2 years ago
Soft Intro Vae Pytorch ⭐ 157
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
most recent commit 2 years ago
Vae Lstm For Anomaly Detection ⭐ 128
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
most recent commit 3 years ago
Gumbel ⭐ 122
Gumbel-Softmax Variational Autoencoder with Keras
most recent commit 7 years ago
Vae Tensorflow ⭐ 115
A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
most recent commit 5 years ago
Normalizing Flows ⭐ 108
Understanding normalizing flows
most recent commit 4 years ago
Deepscm ⭐ 103
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
most recent commit 3 years ago
Vae Text Generation ⭐ 88
Text Generation Using A Variational Autoencoder
most recent commit 7 years ago
Video_generator ⭐ 63
This is implementation of convolutional variational autoencoder in TensorFlow library and it will be used for video generation.
most recent commit 7 years ago
Music Sketchnet ⭐ 55
ISMIR 2020 Paper repo: Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
most recent commit 2 years ago
Pytorch_csx ⭐ 54
PyTorch Taipei & NTU CS+X 讀書會
most recent commit 6 years ago
How_to_generate_images_with_tensorflow_live ⭐ 49
most recent commit 7 years 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
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
The 3 Latest Releases In Jupyter Notebook Variational Autoencoder Open Source Projects
Atomai ⭐ 164
Deep and Machine Learning for Microscopy
dependent packages 1total releases 29latest release September 30, 2023most recent commit 4 months agopypi atomai} Downloads
Sisua ⭐ 16
SemI-SUpervised generative Autoencoder models for single cell data
total releases 7latest release October 02, 2019most recent commit 3 years ago
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