544 Open source projects that are alternatives of or similar to Ydata Synthetic

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Introduction to Generative Adversarial Networks

This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (CVPR 2021) in PyTorch.

Chainer implementation of the Wesserstein GAN

Keras implementation of 3D Generative Adversarial Network.

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Pytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"

Code for the paper "Adversarial Generator-Encoder Networks"

ECE 535 - Course Project, Deep Learning Framework

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018

Generate text boxes from input words with a GAN.

Interactive visualizations of time series using JavaScript and the HTML canvas tag

Applied Deep Learning (2019 Spring) @ NTU

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

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

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Generate Cartoon Images using Generative Adversarial Network

Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)

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

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Use keras.js and cyclegan-keras to colorize manga automatically. All computation in browser. Demo is online:

EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

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

Face generator from sketches using cGAN (pix2pix) model

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

An extremely simple generative adversarial network, built with TensorFlow

[CVPR2020] Adversarial Latent Autoencoders

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

DCGAN Implementation using PyTorch in both C++ and Python

Invert the color of MNIST images with PyTorch

Tools for time series analysis and forecasting

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

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

InfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Slimmable Generative Adversarial Networks (AAAI 2021)

Unofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018

Whitening and Coloring transform for GANs

Create Anime Characters with MakeGirlsMoe

Pytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.

[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

A simple library that implements CLIP guided loss in PyTorch.

🖼 A collection of high-quality anime faces.

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

Study Friendly Implementation of DCGAN in Tensorflow

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

A deep learning library to provide algs in pure Numpy or Tensorflow.

Calculates the Hurst exponent of a time series based on Rescaled range (R/S) analysis.

基于keras使用dcgan自动生成动漫头像

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)

Generate human faces with neural networks

Lightweight, functional and correct time-series library for scala. Easy manipulation, filtering and combination of time-series data.

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

DeepNude with DreamNet improvements.

The Simplest DCGAN Implementation

pytorch 包教不包会