379 Open source projects that are alternatives of or similar to Dfc Vae

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

Torch Implemention of ECCV'16 paper: Attribute2Image

A Tensorfflow implementation of Attend, Infer, Repeat

A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents

Protein function prediction using a variational autoencoder

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

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

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

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

Collection of generative models in Tensorflow

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

Deep Learning Toolbox for Torch

The notes for Math, Machine Learning, Deep Learning and Research papers.

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Training a MNIST classifier, and use it to compute inception score (ICP)

Code for reproducing results in "Generative Model with Dynamic Linear Flow"

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Generative Adversarial Networks (GANs) resources sorted by citations

Novel molecules from a reference shape!

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

Voice conversion (VC) investigation using three variants of VAE

CSGNet: Neural Shape parser for Constructive Solid Geometry

A VAE written entirely in Numpy/Cupy

PyTorch implementation of "Auto-Encoding Variational Bayes"

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Advanced Deep Learning with Keras, published by Packt

Research Framework for easy and efficient training of GANs based on Pytorch

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

code for unsupervised learning Neural Hidden Markov Models paper

Paper collection of Neural Text Generation

Neural conversational model in Torch

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Setup and customize deep learning environment in seconds.

Conditional GAN for Anime face generation.

Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.

A deep generative model library in Theano and Lasagne

(beta-)VAE Tensorflow

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

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

C++ Implementation of PyTorch Tutorials for Everyone

Speech Enhancement Generative Adversarial Network in TensorFlow

Visual Question Answering in Pytorch

Sequence-to-sequence models for AMR parsing and generation

Paperspace API for python

A curated list of awesome Torch tutorials, projects and communities

Playing Mario with Deep Reinforcement Learning

PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"

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).

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"