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hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

hs300_stock_predict

该项目用于对沪深300股票的预测，包括股票下载，数据清洗，LSTM 模型的训练，测试，以及实时预测

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

hyperopt-doc-zh

Github开源项目hyperopt系列的中文文档,以及学习教程等

hyperopt-sklearn

Hyper-parameter optimization for sklearn

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

imputets

CRAN R Package: Time Series Missing Value Imputation

intellij-idea-tutorial

IntelliJ IDEA 简体中文专题教程

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

interview

Interview = 简历指南 + LeetCode + Kaggle

interview_python

关于Python的面试题

inventory-optimization

Using optimal control and ARMA to choose the amount of inventory to hold in order to meet demand.

jiagu

Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类

kaggle-competition-favorita

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

katib

Repository for hyperparameter tuning

keras-attention-mechanism

the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rather than timesteps in the origin project。

keras-tutorials

Keras-Tutorials

kerasnotebook

Keras 快速上手——基于 Python 的深度学习实战

knowledgegraphcourse

东南大学《知识图谱》研究生课程

leetcode

:sparkles::v::sparkles:leetcode刷题 内附leetcode solution代码自动下载生成器（Leetcode solution auto generator)

lihang-code

《统计学习方法》的代码实现

load_forecasting

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

ltp

Language Technology Platform

luminol

Anomaly Detection and Correlation library

m5-accuracy-competition

My second place solution in the M5 Accuracy competition

m5-forecasting-accuracy