zwbjtu123's Stars
XAIseries/XEM
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification
baraline/convst
Implementation of the Random Dilated Shapelet Transform algorithm along with interpretability tools. ReadTheDocs documentation is not up to date with the current version for now.
alexminnaar/time-series-classification-and-clustering
Time series classification and clustering code written in Python.
dairongpeng/algorithm-note
数组、链表、树、图、递归、DP、有序表等相关数据结构与算法的讲解及代码实现。
kingspp/timeseries-explain
Timeseries Explain
cure-lab/Awesome-time-series
A comprehensive survey on the time series domains
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
iarai/science4cast
Details for the Science4Cast competition
univeryinli/ucas-ppt
**科学院大学 国科大课件ppt,主要课程为模式识别,深度学习,高级人工智能
microsoft/IoT-For-Beginners
12 Weeks, 24 Lessons, IoT for All!
sdv-dev/SDMetrics
Metrics to evaluate quality and efficacy of synthetic datasets.
tr8dr/tseries-patterns
trend / momentum and other patterns in financial timeseries
bdaiinstitute/spatialmath-python
Create, manipulate and convert representations of position and orientation in 2D or 3D using Python
deeptime-ml/deeptime
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
weijie-chen/Linear-Algebra-With-Python
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
TalalAlrawajfeh/mathematics-roadmap
A Comprehensive Roadmap to Mathematics
amber-kshz/PRML
Python implementations (on jupyter notebook) of algorithms described in the book "PRML"
OverLordGoldDragon/ssqueezepy
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
AutoViML/Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
ejmahler/RustFFT
RustFFT is a high-performance FFT library written in pure Rust.
zwbjtu123/sktime-dl
sktime companion package for deep learning based on TensorFlow
matrix-profile-foundation/matrixprofile
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
gedeck/practical-statistics-for-data-scientists
Code repository for O'Reilly book
MBrouns/timeseers
Time should be taken seer-iously
fengdu78/lihang-code
《统计学习方法》的代码实现
hardikkamboj/An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
rmcelreath/stat_rethinking_2020
Statistical Rethinking Course Winter 2020/2021
datamllab/tods
TODS: An Automated Time-series Outlier Detection System
CoronaWhy/task-ts
Work related to time series prediction and forecasting of Coronavirus
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).