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awesome-time-series

list of papers, code, and other resources

awesome_imputation

Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data

benchpots

brewpots

The tutorials for PyPOTS, guide you to model partially-observed time series datasets.

clicklikeinqzone

利用python & selenium实现爬虫在 qq 空间 自动 点赞 和 回复

devnet

An implementation of Deviation Network with a case on the credit card fraud dataset.

eye_game

A python module for parsing human gaze direction

github-readme-stats

:zap: Dynamically generated stats for your github readmes

google_scholar_badge_generator

This repository helps you automatically generate citation badges of articles/profiles on Google Scholar. With GitHub actions, you can make yourself a GoogleScholar version of shields.io

lib_mysqludf_json

A UDF library of functions to map relational data to the JSON format.

minc_keras

modified minc_keras project for my graduation project

mulepots

pocketflow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

propbag

道具口袋: 这里存放一些有趣的小demo和小东西😁,欢迎来逛逛.

pygrinder

A Python kit corrupts time series into the incomplete by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random) , MNAR (not at random), sub sequence missing, and block missing.

pypots

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 imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

saits

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

spider_on_github_star_fork

A spider crawls user information of stargazers and forkers of given repositories, then saves such information into a .csv file with pandas.

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

tsdb

a Python toolbox loads 172 public time series datasets for machine learning/deep learning with a single line of code. Datasets from multiple domains, e.g. healthcare, financial, power, traffic, and weather.

wechatautoreply

使用itchat实现的微信自动回复脚本

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