481 Open source projects that are alternatives of or similar to Awesome Decision Tree Papers

关注AI模型上线、模型部署

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

Bayesian Optimization and Grid Search for xgboost/lightgbm

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models

a solution for competition of kaggle `Human or Robot`

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

住房月租金预测大数据赛TOP1

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

MLBox is a powerful Automated Machine Learning python library.

InfiniteBoost: building infinite ensembles with gradient descent

Machine Learning inference engine for Microcontrollers and Embedded devices

Real time eye tracking for embedded and mobile devices.

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

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.

AI比赛相关信息汇总

Example of order book modeling.

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

Machine learning for C# .Net

Open solution to the Home Credit Default Risk challenge 🏡

Comparison tools

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

SilverShop is an e-commerce shopping cart module for the SilverStripe CMS

CIKM AnalytiCup 2017 is an open competition that is sponsored by Shenzhen Meteorological Bureau, Alibaba Group and CIKM2017. Our team got the third place in the first phrase. And in the second phrase we got the fourth place.

A simple web app that shows how Watson's Natural Language Classifier (NLC) can classify ICD-10 code. The app is written in Python using the Flask framework and leverages the Watson Developer Cloud Python SDK

A Machine Learning classifier for recognizing the digits for humans.

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Gradient Boosting powered by GPU(NVIDIA CUDA)

A java implementation of LightGBM predicting part

Library for MQL5 (MetaTrader) with Python, Java, Apache Spark, AWS

exploratory data analysis using random forests

随机森林，Random Forest（RF）

A New, Interactive Approach to Learning Data Science

Machine learning, in numpy

Its an eCommerce app inspired from Amazon , big Basket , grofers ,grocery app , Etc

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Simple shop based on Laravel 7.3

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

A Python interface for Facebook fastText

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka

🦄 使用 RecyclerView 实现店铺分组购物车。 高仿京东购物车、高仿淘宝购物车、高仿天猫购物车

I will update this repository to learn Machine learning with python with statistics content and materials

A tour through recommendation algorithms in python [IN PROGRESS]

Open source, headless, multi-tenant eCommerce platform built with .NET Core, MongoDB, AWS DocumentDB, Azure CosmosDB, Vue.js.

DeepSuperLearner - Python implementation of the deep ensemble algorithm

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Precompiled packages for AWS Lambda

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Dataflow Programming for Machine Learning in R

ROS, ROS2, real-time, control, pendulum

VirtoCommerce Storefront for ASP.NET Core 3.1 repository