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diy_ml_systems_with_python_2nd_edition

《Python机器学习及实践：从零开始通往Kaggle竞赛之路（第二版）》开源数据和代码。

exam-portal

Online Examination system made using Django

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

ggplot2-book

ggplot2: elegant graphics for data analysis

ggplot2-china-map

Use ggplot2 to plot China map, and provide a JSON file of coordinates of major Chinese cities

glm

Code for the General Lake Model

glmtools

Tools for interacting with the General Lake Model (GLM) in R

glumpy

Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization

greenfoot_dev

Creation of an interactive map in R language using leaflet and shiny (web app). It displays some information about sport facilities in world.

h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

hello-algorithm

🌍 东半球最酷的学习项目 | 1、我写的三十万字算法图解 2、千本开源电子书 3、100 张思维导图 4、100 篇大厂面经 5、30 个学习专题 🚀 🚀 🚀 右上角点个 star，加入我们万人学习群！English Supported！

herg-qsar

Using RDKIT and SciKit-Learn to analyse Herg data from Chembl

investigating-air-quality-in-beijing

Perform EDA on an air quality dataset. Identify relationships in the data and discover trends in pollutant levels over time

lake-temperature-model-prep

Pipeline #1

lakeensemblr

An R package that facilitates multi-model ensembles for lake thermodynamics. Also includes tools for calibration, sensitivity analysis and data visualization.

lakeensemblr.wq

R Package to facilitate running ensembles of water quality models

laketrophicmodelling

ORD LakeTrophicModelling

learn-algorithms

算法学习笔记

leetcode

LeetCode算法题典

libpls

An integrated library for partial least square regression and discriminant analysis

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.

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

machine-learning-with-python

此项目是我在学习《机器学习实战》这本书时的代码记录情况，用python实现，当然也会包括一些其他的机器学习算法，使用Python实现

machinelearning_python

机器学习算法python实现

matlab-scripts-for-foodomics-students

mda.lakes

Wisconsin Lake Modeling Aggregation

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

modsimpy

Text and supporting code for Modeling and Simulation in Python

multiple_velocity_fields_visualization

Files for the cross-validation of the SVM and GPR for flow approximation when clouds are flowing in one wind velocity field or two different wind velocity fields

my-matlab-tooboxes

Algorithms written by myself or toolboxes from third party