Gan Python Packages

clean-fid

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

piq

Measures and metrics for image2image tasks. PyTorch.

sdv

Synthetic data generation for tabular data

pytorch-fid

Compute FID scores with PyTorch.

gluoncv

Gluon CV Toolkit

lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

so-vits-svc-fork

so-vits-svc fork with realtime support, improved interface and more features.

nnm

Neural Network Models

torchstudio

Deep Learning Experiment

ydata-synthetic

Synthetic data generators for tabular and time-series data

tensorlayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

pytorch-pretrained-biggan

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

ppgan

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

focal-frequency-loss

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

at-gan

A Tabular GAN framework for generating synthetic tabular data from arbitrary mixed-type tabular datasets.

labml-nn

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

socaity-face2face

Swap faces in images and videos. Create face embeddings. Enhance face image quality. Deploy as a web api.

pytorch-lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

at-gan-core

A Tabular GAN framework for generating synthetic tabular data from arbitrary mixed-type tabular datasets.

phaseaug

ICASSP 2023 Accepted

neuralnetlib

🧠 A flexible machine & deep learning framework built from scratch using only NumPy

sdgx

SDG is a specialized framework designed to generate high-quality structured tabular data.

tf-gen-models

:package: Ready to use implementations of state-of-the-art generative models in TensorFlow 2