229 Open source projects that are alternatives of or similar to Python World

Protein function prediction using a variational autoencoder

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

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

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

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

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

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

Implementation of a convolutional Variational-Autoencoder model in pytorch.

Stochastic Adversarial Video Prediction

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

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

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

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

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

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

Tensorflow implementation of conditional variational auto-encoder for MNIST

Invariant representation learning from imaging and spectral data

Tensorflow implementation of variational auto-encoder for MNIST

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

Experiments for understanding disentanglement in VAE latent representations

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

PyTorch implementation of "Auto-Encoding Variational Bayes"

No description or website provided.

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

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.

Collection of generative models in Tensorflow

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

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

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

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

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

Assessing Generative Models via Precision and Recall (official repository)

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

Pytorch implementation of Hyperspherical Variational Auto-Encoders

Next RecSys Library

(beta-)VAE Tensorflow

Course demos and handouts for Talk Python's Mastering PyCharm course

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

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

Plugin for PyCharm / IntelliJ IDEA Platform IDEs which adds support for Snakemake language.

Common JVM options used with Intellij and what they do

Django-REST-framework 基本教學 - 從無到有 DRF-Beginners-Guide 📝

PyCharm project template for development in remote docker environment

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

Simple implementation of Variational Autoencoder

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

JetBrains 系列软件汉化包 关键字: Android Studio 3.5 汉化包 CLion 2019.3 汉化包 DataGrip 2019.3 汉化包 GoLand 2019.3 汉化包 IntelliJ IDEA 2019.3 汉化包 PhpStorm 2019.3 汉化包 PyCharm 2019.3 汉化包 Rider 2019.3 汉化包 RubyMine 2019.3 汉化包 WebStorm 2019.3 汉化包

An open-source plotting library for statistical data.

One Dark theme for IntelliJ IDEA, PhpStorm, PyCharm, RubyMine, WebStorm

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

Deep probabilistic analysis of single-cell omics data

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

Jetbrains helper

Supports configurable, Eclipse like, save actions, including "organize imports", "reformat code" and "rearrange code".

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Notebooks about Bayesian methods for machine learning

The original implementation of the models and experiments of Variational Deep Semantic Hashing paper (SIGIR 2017)

Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.