zyh88

zyh88's Stars

• sangwoomo/FreezeD

  Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

  Language:Python28637

• sheqi/GAN_Review

  A Survey and Taxonomy of the Recent GANs Development，computer vision & time series

  44876

• tata1661/FSL-Mate

  FSL-Mate: A collection of resources for few-shot learning (FSL).

  Language:Python1.7k288

• Yash-Vardhan-Sharma/MetaGAN

  Language:Python6

• NicelyCla/GAN-and-Meta-Learning

  We've applied the Reptile algorithm to our GAN architectures. The peculiarity is the exclusion of G from meta-learning. Surprisingly, everything worked and the research was published in a paper. More details reported on the paper "Towards Latent Space Optimization of GANs Using Meta-Learning" and the thesis (Italian).

  Language:Python74

• jehangiramjad/tslib

  Time Series Forecasting and Imputation

  Language:Python4826

• Luoyonghong/Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks

  NIPS2018 paper

  Language:Python18866

• Brophy-E/TimeSeries_GAN_Review

  A Survey and Taxonomy of recent GANs developments in time series.

  1

• ydataai/ydata-synthetic

  Synthetic data generators for tabular and time-series data

  Language:Jupyter Notebook1.4k235

• pranjal1/TimeGANPyTorch

  Language:Python5

• kazukiyamaji/TimeGAN-test

  I implemented TimeGAN with pytorch.

  Language:Python1

• SigCGANs/Conditional-Sig-Wasserstein-GANs

  Language:Python12557

• benearnthof/TimeGAN

  A pytorch implementation of Time-series Generative Adversarial Networks (https://github.com/jsyoon0823/TimeGAN)

  Language:Jupyter Notebook5013

• DreamStudioAI/sim_gan

  Implementation of paper: SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification

  117

• tadamcz/copula-wrapper

  Specify a joint probability distribution from arbitrary marginal distributions and pairwise rank correlations. Wrapper around statsmodels.

  Language:Python4

• Brophy-E/Multivariate-timeseries-GANs

  This repository is an artifact for the paper under review "Multivariate Generative Adversarial Networks and their Loss Functions for Synthesis of Multichannel ECGs" submitted to IEEE Pattern Recognition and Machine Intelligence 2020. The code is available as Jupyter Notebooks `.ipynb`, `.py` files will be added shortly.

  Language:Jupyter Notebook33

• IvanBongiorni/GAN-RNN_Timeseries-imputation

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

  Language:Jupyter Notebook16826

• sdv-dev/SDV

  Synthetic data generation for tabular data

  Language:Python2.4k316

• BugOrFeature/UniformGAN

  UniformGAN: generative adversarial network in copula space

  Language:Python21

• RonRichman/copula_gan

  Language:Jupyter Notebook1

• shaoxiongdu/JVMStudy

  💊JVM 底层原理解析

  Language:HTML36065

• katjawittfoth/Isolation_Forest

  Implementation of iForest Algorithm for Anomaly Detection from scratch

  Language:Python269

• Aerozb/like

  高并发点赞的详情解决方案

  Language:Java133

• itwanger/toBeBetterJavaer

  一份通俗易懂、风趣幽默的Java学习指南，内容涵盖Java基础、Java并发编程、Java虚拟机、Java企业级开发、Java面试等核心知识点。学Java，就认准二哥的Java进阶之路😄

  13.3k1.9k

• doocs/advanced-java

  😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

  Language:Java76.1k19.1k

• FraserYu/learnings

  Java技术栈Demo与精彩文章汇总

  Language:Java378108

• buhuixiezuowendelihua/Anomaly-Detection

  异常值检测算法总结

  Language:Jupyter Notebook16522

• Brophy-E/ECG_GAN_MBD

  This repository is for the paper "Synthesis of Realistic ECG using Generative Adversarial Networks".

  Language:Python5427

• MikhailMurashov/ecgGAN

  LSTM-GAN for generate plausible ECG signals

  Language:Jupyter Notebook9326

• mandrakedrink/ECG-Synthesis-and-Classification

  1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.

  Language:Python10715