A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…

Data imputations library to preprocess datasets with missing data

Missing Data Imputation for Python

[KDD'23] This is the code repo for our KDD'23 paper "DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling".

[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

<GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data> in AAAI 2022

Generative Adversarial Imputation Networks (GAIN) Pytorch version

Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现

多标签分类,端到端的中文车牌识别基于mxnet, End-to-End Chinese plate recognition base on mxnet

李宏毅2021/2022/2023春季机器学习课程课件及作业

Python - 100天从新手到大师

Python语言基础50课