1,114 skills found · Page 1 of 38
jaywalnut310 / VitsVITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
AntixK / PyTorch VAEA Collection of Variational Autoencoders (VAE) in PyTorch.
hwalsuklee / Tensorflow Generative Model CollectionsCollection of generative models in Tensorflow
clementchadebec / Benchmark VAEUnifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
krasserm / Bayesian Machine LearningNotebooks about Bayesian methods for machine learning
GMvandeVen / Continual LearningPyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
acids-ircam / RAVEOfficial implementation of the RAVE model: a Realtime Audio Variational autoEncoder
scverse / Scvi ToolsDeep probabilistic analysis of single-cell and spatial omics data
jmtomczak / Intro Dgm"Deep Generative Modeling": Introductory Examples
RubensZimbres / Repo 2017My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
jaanli / Variational AutoencoderVariational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
NVlabs / NVAEThe Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
wubinzzu / NeuRecNext RecSys Library
VincentStimper / Normalizing FlowsPyTorch implementation of normalizing flow models
MishaLaskin / VqvaeA pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
matthewvowels1 / Awesome VAEsA curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
YannDubs / Disentangling VaeExperiments for understanding disentanglement in VAE latent representations
EdoardoBotta / RQ VAE Recommender[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
kvfrans / Variational Autoencodergenerate MNIST using a Variational Autoencoder
EndlessSora / Focal Frequency Loss[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
