1178 Open source projects that are alternatives of or similar to Segan

Pytorch implementation of pix2pix for various datasets.

Periodic Spatial Generative Adversarial Networks

Collection of generative models in Tensorflow

Project Page of 'Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks'

Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

Spectral Normalization for Keras Dense and Convolution Layers

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Voice Activity Detection based on Deep Learning & TensorFlow

Generator loss to reduce mode-collapse and to improve the generated samples quality.

PyTorch implementation of CycleGAN

Keras implementations of Generative Adversarial Networks.

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

This is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !

A stable algorithm for GAN training

🙄 Difficult algorithm, Simple code.

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Understanding emotions from audio files using neural networks and multiple datasets.

Guided Conditional Wasserstein GAN for De Novo Protein Design

GAN in Tensorflow to be run via Linux command line

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

Face generator from sketches using cGAN (pix2pix) model

Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"

PyTorch Implementation of DCGAN trained on the CelebA dataset.

CPU/GPU/TPU implementation of the Fréchet Inception Distance

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

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

Adversarial Generation of Continuous Images [CVPR 2021]

Implementation of Papers on Adversarial Examples

Synthesizing and manipulating 2048x1024 images with conditional GANs

Semantic Image Inpainting

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

An example of the paper "reconstructing faces from voices"

Deep Learning in Haskell

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Deep Learning-based Voice Conversion system

Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"

Learning Chinese Character style with conditional GAN

Multi-style Generative Network for Real-time Transfer

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

Page to PAGE Layout Analysis Tool

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

No description or website provided.

Invert the color of MNIST images with PyTorch

StarNet

deep learning based speech enhancement using keras or pytorch, make it easy to use

[CVPR2020] Adversarial Latent Autoencoders

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

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

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

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

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

[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)