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acg

PyTorch implementation of Diversified Adversarial Attack based on Conjugate Gradient Method (ICML2022).

acvaegan

aegan

This model is for anomaly detection, use an autoencoder to keep the image's overall structure, then use the G of GAN to simulate the detail of the image.

autoencoding_beyond_pixels

Generative image model with learned similarity measures

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

colorization_pix2pix_cyclegan

compare_gan

Compare GAN code.

credit-scoring-data-sets

These common credit score data sets are collected to empirical evaluations, and I will update dynamically.

ctgan

Conditional GAN for generating synthetic tabular data.

cvae-gan_tensorlayer

A CVAE-GAN implementation with tensorlayer

data-efficient-gans

Differentiable Augmentation for Data-Efficient GAN Training

gan

Tooling for GANs in TensorFlow

gan-playground

Open repository with GAN architectures for tabular data implemented using Tensorflow 2.0.

ganbasedoversampling

generative-models

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

icrgan-and-ssgan

Implementation of ICRGAN and SSGAN

intrusion_dection_system

Build Intrusion Detection System via basic machine learning models and compare performance.

keras-gan

Keras implementations of Generative Adversarial Networks.

ml-projects

Basic Machine learning projects and assignments done by me.

nbminer

NVIDIA & AMD GPU Miner for ETH, RVN, GRIN, BEAM, CFX, AE, SERO

network-intrusion-detection

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

on-the-generation-and-evaluation-of-synthetic-tabular-data-using-gans

Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

scikit-posthocs

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

sdgym

Benchmarking synthetic data generation methods.

sklearn-doc-zh

:book: [译] scikit-learn（sklearn） 中文文档

table-evaluator

A package to evaluate how close a synthetic data set is to real data.

tablegan