147 Open source projects that are alternatives of or similar to Dlf

Generative Adversarial Networks in PyTorch

Hierarchical fast and high-fidelity audio generation

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

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..

Public release of data and code for materials synthesis generation

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

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

Code for the paper "Jukebox: A Generative Model for Music"

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

GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)

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

A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms

unsupervised video and image generation

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

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

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

PixelVAE with or without regularization

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

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.

A VAE written entirely in Numpy/Cupy

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

Collection of generative models in Tensorflow

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

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

[CVPR2020] Adversarial Latent Autoencoders

PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

Generative Adversarial Networks (GANs) resources sorted by citations

Face generator from sketches using cGAN (pix2pix) model

CSGNet: Neural Shape parser for Constructive Solid Geometry

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

Speech Enhancement Generative Adversarial Network in TensorFlow

Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)

PyTorch Implementation of DCGAN trained on the CelebA dataset.

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

Official implementation of Dynamical VAEs

Protein function prediction using a variational autoencoder

TriangleGAN, ACM MM 2019.

in progress

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

Adversarially Learned Inference in Pytorch

Variational autoencoder for anomaly detection (in PyTorch).

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

No description or website provided.

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

CSGNet for voxel based input

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

Guided Conditional Wasserstein GAN for De Novo Protein Design

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

A deep generative model library in Theano and Lasagne

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

Novel molecules from a reference shape!

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

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.