124 Open source projects that are alternatives of or similar to Vae Celeba

Chatbot in 200 lines of code using TensorLayer

Tensorflow implementation of variational auto-encoder for MNIST

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

PyTorch implementation of "Auto-Encoding Variational Bayes"

TensorLayer 中文文档

A Computation Graph Virtual Machine Based Deep Learning Framework

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

Understanding normalizing flows

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

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

HyperPose: A Collection of Real-time Human Pose Estimation

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Next RecSys Library

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

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Pytorch implementation of Block Neural Autoregressive Flow

U-Net Brain Tumor Segmentation

Notebooks about Bayesian methods for machine learning

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).

商用级垃圾文本分类器

Protein function prediction using a variational autoencoder

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)

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

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

A VAE written entirely in Numpy/Cupy

基于BP神经网络的自动驾驶模型车。包含收集数据、控制模型生成与在线/离线自动运行所需的程序。

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

Tensorflow implementation of conditional variational auto-encoder for MNIST

TensorFlow and Deep Learning Tutorials

Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.

Insight Face on TensorFlow

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Generative Adversarial Text to Image Synthesis / Please Star -->

Re-implement CycleGAN in Tensorlayer

Deep probabilistic analysis of single-cell omics data

[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes

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

Simple implementation of Variational Autoencoder

Experiments for understanding disentanglement in VAE latent representations

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Variational autoencoders for collaborative filtering

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

How to use TensorLayer

《深度学习：一起玩转TensorLayer》资源分享、讨论

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env

The Simplest DCGAN Implementation

Kalman Variational Auto-Encoder

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

Variational Autoencoder for Dimensionality Reduction of Time-Series

Focal Frequency Loss for Generative Models

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

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

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