Shreshth-112/Video-summarization-using-keyframe-extraction

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

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clementchadebec/benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Language: Python - Size: 42.5 MB - Last synced: 13 days ago - Pushed: about 2 months ago - Stars: 1,698 - Forks: 154

meiyulee/continuous_Bernoulli

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.

Language: C++ - Size: 47.3 MB - Last synced: 24 days ago - Pushed: 25 days ago - Stars: 22 - Forks: 3

animesh-007/Basic_VAE_implementation

Basic implementation of VAE

Language: Python - Size: 3.91 KB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

AntixK/PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Language: Python - Size: 45.4 MB - Last synced: about 1 month ago - Pushed: 8 months ago - Stars: 5,974 - Forks: 1,016

trinity652/VAE-Face-generator

A sample face generation project to enhance my understanding of VAEs

Language: Python - Size: 6.84 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

HariKrishnan06082k/Robot-Learning-for-Planning-and-Control

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.

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ayseirmak/Chatter-Detection

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.

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cankobanz/VAE-and-GAN-training-on-MNIST-dataset

Handwritten Digit Generation with VAE and GAN are applied.

Language: Python - Size: 11.9 MB - Last synced: 5 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

vsimkus/pmr2024-vae

An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.

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DeepSchneider/vae-image-generation-example

Image Generation Using VAE Architecture And Simpsons Faces Dataset

Language: Python - Size: 24.5 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

ajeyamk/causalvae Fork of robertness/causalvae

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shreyansh26/Sentence-VAE

A re-implementation of the Sentence VAE paper, Generating Sentences from a Continuous Space

Language: Python - Size: 35 MB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 1

DelTA-Lab-IITK/PDUN

Probabilistic framework for solving Visual Dialog

Size: 21 MB - Last synced: 10 months ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0

UW-CIA/Models_at_edge

Running VAEs on mobile and IOT devices using TFLite.

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Baukebrenninkmeijer/Variational-Autoencoder-Pytorch

Implementation of the variational autoencoder with PyTorch and Fastai

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dikshantsagar/VAE-pytorch

An implementation of Variational Auto-encoder with TSNE Visualization on MNIST dataset.

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WindowsKonon1337/VAE-Face-Generator

Simple VAE face generator

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insdout/GMVAE-pytorch

Pytorch implementation of Gaussian Mixture Variational Autoencoder GMVAE

Language: Python - Size: 5.26 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

raulorteg/SmileCVAE

Implementation of CVAE. Trained CVAE on faces from UTKFace Dataset to produce synthetic faces with a given degree of happiness/smileyness.

Language: Python - Size: 114 MB - Last synced: 10 months ago - Pushed: over 2 years ago - Stars: 4 - Forks: 1

manikanta5557/Variational-Auto-Encoders-Mnist

A simple implementation of variational Auto encoders using Mnist dataset in tensorflow.

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Resh-97/MixSeq-Connecting-Macroscopic-Time-Series-Forecasting-with-Microscopic-Time-Series-Data

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.

Language: Jupyter Notebook - Size: 93.8 MB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0

nandiniigarg/ColorVAE

ColorVAE is a Vanilla Auto Encoder (V.A.E.) which can be used to add colours to black and white images.

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lovelyscientist/rna-seq-vae

Synthetic gene expression data generation using Variational Auto-Encoder

Language: Python - Size: 9.16 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 10 - Forks: 4

AmanPriyanshu/SynthesizeDaten

A repository for generating synthetic data (images) using various DL/ML models.

Language: Python - Size: 15.8 MB - Last synced: 30 days ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

ayulockin/deepgenerativemodeling

Towards Generative Modeling from (variational) Autoencoder to DCGAN

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ioangatop/DeepGenerativeModels

Variational Auto Encoders (VAEs), Generative Adversarial Networks (GANs) and Generative Normalizing Flows (NFs) and are the most famous and powerful deep generative models.

Language: Python - Size: 100 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 4 - Forks: 2

keya-desai/Natural-Language-Processing

Python implementation of N-gram Models, Log linear and Neural Linear Models, Back-propagation and Self-Attention, HMM, PCFG, CRF, EM, VAE

Language: Python - Size: 15 MB - Last synced: over 1 year ago - Pushed: almost 4 years ago - Stars: 2 - Forks: 2

julian-carpenter/beta-TCVAE

Tensorflow 2.x implementation of the beta-TCVAE (arXiv:1802.04942).

Language: Python - Size: 22.5 KB - Last synced: over 1 year ago - Pushed: over 4 years ago - Stars: 10 - Forks: 0

amerotz/latent-representations-for-traditional-music-analysis-and-generation

This repository contains the code, data and scripts used to write the Bachelor Thesis "Latent representations for traditional music analysis and generation".

Language: Python - Size: 33.9 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

prkhrv/Variational-Auto-Encoders-VAEs

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.

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yakhyo/VAE

Implementation of Auto-Encoding Variational Bayes using PyTorch

Language: Python - Size: 53.7 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

alicika/MLExamination

The CNN implementation to qualify images. This repo also contains Japanese coin validation(with binaries) and MNIST challenge detection.

Language: Python - Size: 62.9 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

bmanczak/dl_practicals

This repo is devoted to the pracicals of the course Deep Learning (5204DLFV6Y) realised at the Univeristy of Amsterdam, Fall 2020.

Language: TeX - Size: 18.7 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

TimoFlesch/Autoencoders

Autoencoders (Standard, Convolutional, Variational), implemented in tensorflow

Language: Python - Size: 24.4 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 2 - Forks: 0

SwikarGautam/VAE

Variational Autoencoder (VAE) trained on MNIST

Language: Python - Size: 492 KB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

kleinzcy/Variational-AutoEncoder

VAE and CVAE pytorch implement based on MNIST

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DrLux/VAE-on-VizdoomTakeCover

Convolutional Variational Autoencoder on VizdoomTakeCover

Language: Jupyter Notebook - Size: 38 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0