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Some thing interesting about vae-implementation
Some thing interesting about vae-implementation
vae-implementation,The CNN implementation to qualify images. This repo also contains Japanese coin validation(with binaries) and MNIST challenge detection.
User: alicika
vae-implementation,A repository for generating synthetic data (images) using various DL/ML models.
User: amanpriyanshu
vae-implementation,This repository contains the code, data and scripts used to write the Bachelor Thesis "Latent representations for traditional music analysis and generation".
User: amerotz
vae-implementation,Basic implementation of VAE
User: animesh-007
vae-implementation,A Collection of Variational Autoencoders (VAE) in PyTorch.
User: antixk
vae-implementation, Utilized a VAE (Variational Autoencoder) and CGAN (Conditional Generative Adversarial Network) models to generate synthetic chatter signals, addressing the challenge of imbalanced data in turning operations. Compared othe performance of synthetic chatter signals.
User: ayseirmak
vae-implementation,Towards Generative Modeling from (variational) Autoencoder to DCGAN
User: ayulockin
vae-implementation,Implementation of the variational autoencoder with PyTorch and Fastai
User: baukebrenninkmeijer
vae-implementation,This repo is devoted to the pracicals of the course Deep Learning (5204DLFV6Y) realised at the Univeristy of Amsterdam, Fall 2020.
User: bmanczak
vae-implementation,Handwritten Digit Generation with VAE and GAN are applied.
User: cankobanz
vae-implementation,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
User: clementchadebec
vae-implementation,Probabilistic framework for solving Visual Dialog
Organization: delta-lab-iitk
vae-implementation,An implementation of Variational Auto-encoder with TSNE Visualization on MNIST dataset.
User: dikshantsagar
vae-implementation,Convolutional Variational Autoencoder on VizdoomTakeCover
User: drlux
vae-implementation,Implementing a Conditional VAE for video prediction with PyTorch
User: ericyangchen
vae-implementation,Solutions for Advanced Image Analysis course assignments, featuring model designs for image summation and generation with MNIST, and style transfer using CycleGAN with MNIST and SVHN datasets.
User: gracesevillano
vae-implementation,Topics include function approximation, learning dynamics, using learned dynamics in control and planning, handling uncertainty in learned models, learning from demonstration, and model-based and model-free reinforcement learning.
User: harikrishnan06082k
vae-implementation,Pytorch implementation of Gaussian Mixture Variational Autoencoder GMVAE
User: insdout
vae-implementation,Variational Auto Encoders (VAEs), Generative Adversarial Networks (GANs) and Generative Normalizing Flows (NFs) and are the most famous and powerful deep generative models.
User: ioangatop
vae-implementation,Tensorflow 2.x implementation of the beta-TCVAE (arXiv:1802.04942).
User: julian-carpenter
vae-implementation,Python implementation of N-gram Models, Log linear and Neural Linear Models, Back-propagation and Self-Attention, HMM, PCFG, CRF, EM, VAE
User: keya-desai
vae-implementation,VAE and CVAE pytorch implement based on MNIST
User: kleinzcy
vae-implementation,Implementation of 3D convolutional conditional variational autoencoder.
User: lars-chen
vae-implementation,A simple implementation of variational Auto encoders using Mnist dataset in tensorflow.
User: manikanta5557
vae-implementation,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.
User: meiyulee
vae-implementation,Leveraging the power of LD variational autoencoders to identify latent representations as dim red embeddings of sc data
User: mode1990
vae-implementation,ColorVAE is a Vanilla Auto Encoder (V.A.E.) which can be used to add colours to black and white images.
User: nandiniigarg
vae-implementation,A variational autoencoder can be defined as being an autoencoder whose training is regularised to avoid overfitting and ensure that the latent space has good properties that enable generative process.
User: prkhrv
vae-implementation,Implementation of CVAE. Trained CVAE on faces from UTKFace Dataset to produce synthetic faces with a given degree of happiness/smileyness.
User: raulorteg
vae-implementation,Testing the Reproducibility of the paper: MixSeq. Under the assumption that macroscopic time series follow a mixture distribution, they hypothesise that lower variance of constituting latent mixture components could improve the estimation of macroscopic time series.
User: resh-97
vae-implementation,A PyTorch implementation of multimodal VRNN and VAE.
User: sathya-ml
vae-implementation,Built a model to create highlights/summary of given video. The results of this study shows that, with a remarkable similarity index(SSIM) of 98%, the recommended technique is quite successful in choosing keyframes that are both educational and distinctive from the original movie
User: shreshth-112
vae-implementation,A re-implementation of the Sentence VAE paper, Generating Sentences from a Continuous Space
User: shreyansh26
vae-implementation,Variational Autoencoder (VAE) trained on MNIST
User: swikargautam
vae-implementation,Autoencoders (Standard, Convolutional, Variational), implemented in tensorflow
User: timoflesch
vae-implementation,A variational Autoencoder (VAE) to generate human faces based on the CelebA dataset. A VAE is a generative model that learns to represent high-dimensional data (like images) in a lower-dimensional latent space, and then generates new data from this space.
User: trinity652
vae-implementation,Encoder and Decoder in VAE's.
User: tumuluri007
vae-implementation,Running VAEs on mobile and IOT devices using TFLite.
Organization: uw-cia
vae-implementation,An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
User: vsimkus
Home Page: https://opencourse.inf.ed.ac.uk/pmr/
vae-implementation,Simple VAE face generator
User: windowskonon1337
vae-implementation,Pytorch版本实现的VAE和公式推导
User: xinli2008
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