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acmsimc_tut

AC Machine Simulation in C (Tutorial Version)

adtk

A Python toolkit for unsupervised anomaly detection in time series

atc_sr

ATC_data Speech Recognition

causal_tree

cv-

labelimg labelme xml json /format conversion

da-cases

deep-learning-time-series-forecasting

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

ijcars19

Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks

interpreting-decision-trees-and-random-forests

Unwrapping decision trees and random forests to make them less of a black box

luminol

Anomaly Detection and Correlation library

predict-the-price-of-used-cars

Datawhale Team Learning Course, data set for Tianchi https://tianchi.aliyun.com/competition/entrance/231784/information

pyfda

Python Filter Design Analysis Tool

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pyts

A Python package for time series classification

qar_dep

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

stumpy

STUMPY is a powerful and scalable Python library that can be used for a variety of time series data mining tasks

telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

tia

time-series-classification-and-clustering

Time series classification and clustering code written in Python.

week4

sanguo

week5

homework week5