#Gans
Showing 60 of 64 repositories tagged #gans, ranked by stars
Image-to-Image Translation in PyTorch
Bringing Old Photo Back to Life (CVPR 2020 oral)
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Synthetic data generation for tabular data
The author's officially unofficial PyTorch BigGAN implementation.
Implementation of papers in 100 lines of code.
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
A sketch extractor for anime/illustration.
A simple interface for editing natural photos with generative neural networks.
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
Converted CoreML Model Zoo.
Synthetic data generators for tabular and time-series data
A very simple generative adversarial network (GAN) in PyTorch
Toward Multimodal Image-to-Image Translation
Research Framework for easy and efficient training of GANs based on Pytorch
🏖 Keras Implementation of Painting outside the box
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Pytorch implementation of MixNMatch
[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Sketch Your Own GAN: Customizing a GAN model with hand-drawn sketches.
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
[CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation
Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make extravagant eyebrows, or horses wearing hats.
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)
Speech Enhancement Generative Adversarial Network in PyTorch
Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)
Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
StarNet
[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
Aulas da Escola de Inteligência Artificial de São Paulo
This project aim to share the knowledge and code concerning generative models, including: GAN, Diffusion, VAE.
Using cGANs to remove objects from a photo
(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare
Real-time Facial Expression Transfer --> facial expression capture and reenactment via webcam
Awesome De novo drugs design papers
Pytorch implementation of GANimation with pretrained weights.
Official implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)
TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.
A macOS app to parse face landmarks from a video for training GANs
StyleGAN and StyleGAN2 implementation for generating anime faces.
GANs in computer vision AI Summer article series
How to create Selfie2Anime from tflite model to Android.
my own deep learning mastery roadmap
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
Build an Autonomous Web3 AI Trading Agent (BASE + Uniswap V4 example)
Generate Cartoon Images using Generative Adversarial Network
Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.
The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.
Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors