507 Open source projects that are alternatives of or similar to Pytorch_models

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

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

Stochastic Adversarial Video Prediction

Assessing Generative Models via Precision and Recall (official repository)

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

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Paper notes in deep learning/machine learning and computer vision

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

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

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

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

30 Days GANs Paper Reading

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

EfficientMORL (ICML'21)

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).

Improving MMD-GAN training with repulsive loss function

A curated list of dedicated resources and applications

No description or website provided.

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

Everything about Generative Adversarial Networks

Tensorflow implementation of adversarial auto-encoder for MNIST

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

Stacked Generative Adversarial Networks

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Implementation of Conditional Generative Adversarial Networks in PyTorch

Generate image from text with Generative Adversarial Network

DeepGTT: Learning Travel Time Distributions with Deep Generative Model

Generative Adversarial Networks in TensorFlow 2.0

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

Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)

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

Implementation of a convolutional Variational-Autoencoder model in pytorch.

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

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

Playing with MNIST. Machine Learning. Generative Models.

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

No description or website provided.

dcgan combined with vae in pytorch!

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

SMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.

Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

A sketch extractor for anime/illustration.

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

Semi-supervised GAN in "Improved Techniques for Training GANs"

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

Image-to-Image Translation in PyTorch

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Repository for MAD-GAN Paper done in ML CAMP Jeju

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.