677 Open source projects that are alternatives of or similar to Bagel

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Implementation of a convolutional Variational-Autoencoder model in pytorch.

music generation with a classifying variational autoencoder (VAE) and LSTM

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Deep Learning sample programs using PyTorch in C++

Invariant representation learning from imaging and spectral data

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

PyTorch implementation of "Auto-Encoding Variational Bayes"

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

A tensorflow implementation of "Generating Sentences from a Continuous Space"

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.

Experiments for understanding disentanglement in VAE latent representations

Assessing Generative Models via Precision and Recall (official repository)

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

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

Tensorflow implementation of variational auto-encoder for MNIST

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

Protein function prediction using a variational autoencoder

Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Stochastic Adversarial Video Prediction

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Pytorch implementation of Hyperspherical Variational Auto-Encoders

Tensorflow implementation of conditional variational auto-encoder for MNIST

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

Collection of generative models in Tensorflow

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

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PyTorch implementation of normalizing flow models

Self driving car in GTAV with Deep Learning

一个代码在线编辑预览工具，类似codepen、jsbin、jsfiddle等。

🌈 Collect beautiful art text, never bug. 收集好看的艺术代码，佛祖保佑，永无 Bug。找好看的注释，看这里。

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Run VSCode inside of a Docker Container

Using neural network to build expressive hierarchical distribution; A variational method to accurately estimate posterior uncertainty; A fast and general method for Bayesian inference. (ICML 2018)

Code for reproducing f-AnoGAN in Pytorch

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

ICASSP 2019 official Latex template

Torch Implemention of ECCV'16 paper: Attribute2Image

An iOS tableview picker for PhoneCountryCode (English & Chinese supported)

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on J…

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🇩🇪 Mat-O-Wahl - Ein einfach zu bedienender, freier Open Source Wahl-O-Mat Klon fuer jedermann ### 🇬🇧 🇺🇸 A simple to handle, free "Voting Advice Application" / "Electoral Compass" alternative

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)

robust and beginner friendly dotfile skeleton

An opensource bot for Discord that posts data to Hastebin

🔌📺 This is a public database for all the known RS232 commands for professionnal screens, monitors and projectors. Feel free to contribute !

The Kubervisor allow you to control which pods should receive traffic or not based on anomaly detection.It is a new kind of health check system.

Inline-Code Tool for Editor.js 2.0