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Uplift modeling and causal inference with machine learning algorithms
A package for the sparse identification of nonlinear dynamical systems from data
Turns Data and AI algorithms into production-ready web applications in no time.
Python地理信息数据教程中文版（GeoPandas、GIS）
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
NeuralProphet: A simple forecasting package
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.
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
A Python toolkit for rule-based/unsupervised anomaly detection in time series
Practical Time-Series Analysis, published by Packt
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sa…
Probabilistic time series modeling in Python