147 Open source projects that are alternatives of or similar to Ali Pytorch

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

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

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..

Hierarchical fast and high-fidelity audio generation

Listing my favorite research papers 📝 from different fields as I read them.

🤖🖌️ 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.

Public release of data and code for materials synthesis generation

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

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

Generative Adversarial Networks in PyTorch

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

Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)

Collection of generative models in Tensorflow

PixelVAE with or without regularization

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

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.

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

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

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

Pytorch implementation of CycleGAN.

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

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

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

No description or website provided.

unsupervised video and image generation

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

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

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

Official implementation of Dynamical VAEs

Speech Enhancement Generative Adversarial Network in TensorFlow

TriangleGAN, ACM MM 2019.

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.

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

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

Variational autoencoder for anomaly detection (in PyTorch).

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

No description or website provided.

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

CSGNet for voxel based input

[CVPR2020] Adversarial Latent Autoencoders

Guided Conditional Wasserstein GAN for De Novo Protein Design

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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

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

A convenient MIDI / symbolic music tokenizer for Deep Learning networks, with multiple strategies 🎶

in progress

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

Face generator from sketches using cGAN (pix2pix) model

Official repository for the ShapeFormer Project

Generative Adversarial Networks (GANs) resources sorted by citations

Variants of Vision Transformer and its downstream tasks

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

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

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

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

A VAE written entirely in Numpy/Cupy

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

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

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

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