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hyperopt-doc-zh

Github开源项目hyperopt系列的中文文档,以及学习教程等

hyperparameter-optimization-techniques

Different hyperparameter optimization methods to get best performance for your Machine Learning Models

influenza_transformer

PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

intellij-idea-tutorial

🌻 This is a tutorial of IntelliJ IDEA, you can know how to use IntelliJ IDEA better and better.

interview

Interview = 简历指南 + LeetCode + Kaggle

introduction-to-time-series-forecasting-python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

jd331

joyful-pandas

pandas中文教程

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kdd2021-tutorial

EconML/CausalML KDD 2021 Tutorial

keras-tcn

Keras Temporal Convolutional Network.

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

leetcode-master

LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

leetcode-py

⛽️「算法通关手册」，超详细的「算法与数据结构」基础讲解教程，「LeetCode」700+ 道题目的详细解析。通过「算法理论学习」和「编程实战练习」相结合的方式，从零基础到彻底掌握算法知识。

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

lihang-code

《统计学习方法》的代码实现

linear-tree

A python library to build Model Trees with Linear Models at the leaves.

lunar-solar-calendar-converter

公历(阳历) 农历(阴历)转换，支持时间段从1900-2100 如果需要更长的时间段，利用generate.htm生成的数据即可。 支持各种编程语言 C#,java,Objective-C,php,Python,javascript(nodejs),C/C++,ruby,swift,golang等 支持Mac，Windows，Android，WP多种平台

m4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

machine-learning

machine-learning-for-time-series-with-python

Machine Learning for Time-Series with Python.Published by Packt

machine-learning-notes

This is the notes of the way of machine learning study. You may find something useful in it.

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

machine_learning_code_implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

machine_learning_resources

:fish::fish::fish: 机器学习面试复习资源

maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.