440 Open source projects that are alternatives of or similar to dcgan_anime_avatars

simple Generative Adversarial Networks base on matlab

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Gathers Tensorflow deep learning models.

TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"

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A summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.

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

Chainer implementation of the Wesserstein GAN

Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.

Unpaired Caricature Generation with Multiple Exaggerations (TMM 2021)

A torch implementation of "Pixel-Level Domain Transfer"

Invert the color of MNIST images with PyTorch

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Everything about Generative Adversarial Networks

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

Generate Cartoon Images using Generative Adversarial Network

Deep Convolutional Conditional GAN and Supervised CNN for generating children's faces given parents' faces

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🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

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A simple library that implements CLIP guided loss in PyTorch.

Showcasing various fun adventures with GANs

Image-to-Image Translation in PyTorch

Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

ECE 535 - Course Project, Deep Learning Framework

On the "steerability" of generative adversarial networks

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

(CVPR 2019 Oral) Style Transfer with Geometric Deformation

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

Codes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Pytorch implementation of Image Manipulation with Perceptual Discriminators paper

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

Sketch-Based 3D Exploration with Stacked Generative Adversarial Networks

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

Pytorch implementation of Wasserstein GANs with Gradient Penalty

Pytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"

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PyTorch Implementation of Unrolled Generative Adversarial Networks

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

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