258 Open source projects that are alternatives of or similar to click-through-rate-prediction

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Real time face landmarking using decision trees and NN autoencoders

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

An introductory statistics course for social scientists, using Stata

Accelerated subscription for international/China region ad filtering rules（国际/中国地区广告过滤规则的加速订阅）

Automates partnerships in the big community of discord.

A JavaScript library for display ads in React applications.

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

TeleGram Advrtising

Abnormal Traffic Identification Classifier based on Machine Learning. My code for undergraduate graduation design.

A lightweight library for designing and executing workflows in .NET Core

No description or website provided.

Jupyter Notebooks and miscellaneous

Building Decision Trees From Scratch In Python

A nice friendly simple and easly customizable GUI for coinhives javascript miner to embed onto websites so users of your site can interact with features of the miner on every single page this javascript miner is to help those who have problems with advertisements/advertising/ads popups banners mobile redirects malvertising/malware etc and provid…

Python implementation of Andrew Ng's ML course projects

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

A super-fast and scalable Random Forest library based on fast histogram decision tree algorithm and distributed bagging framework. It can be used for binary classification, multi-label classification, and regression tasks. This library provides both Python and command line interface to users.

Small JavaScript implementation of ID3 Decision tree

A fast and easy to use decision tree learner in java

Hyperon - Motor Insurance Demo App. This is a sample application to demonstrate capabilities of Hyperon.io library (Java Business Rules Engine (BRE)/Java Pricing Engine). The application demonstrates responsive quotations for Car/Motor Insurance based on decision tables and Rhino functions (for math calculations). It shows different possible bus…

An end-to-end machine learning and data mining framework on Hadoop

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

Using LSTM network for time series forecasting

Quick-Data-Science-Experiments

InfiniteBoost: building infinite ensembles with gradient descent

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Build direct relationships with demand partners and access higher prices and quality demand without obstacles

A set of tools to understand what is happening inside a Random Forest

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

Machine Learning inference engine for Microcontrollers and Embedded devices

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

Sentiment Analysis & Topic Modeling with Amazon Reviews

Official Discourse Advertising Plugin. Install & Start Serving Ads on Your Discourse Forum

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Machine Learning algorithms coded from scratch

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Fivetran's ad reporting dbt package. Combine your Facebook, Google, Pinterest, Linkedin, Twitter, Snapchat and Microsoft advertising spend using this package.

YouTube Like Count Predictions using Machine Learning

The Camapign Management UI for RTB4Free, the open source bidder / DSP.

Receipt.ID is a multi-label, multi-class, hierarchical classification system implemented in a two layer feed forward network.

随机森林，Random Forest（RF）

Handwritten Digit Recognition using Machine Learning and Deep Learning

Scripts, tools and example data for mapping wetland ecosystems using data driven R statistical methods like Random Forests and open source GIS

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Information Retrieval in High Dimensional Data (class deliverables)

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

🌳 Stacked Gradient Boosting Machines

A New, Interactive Approach to Learning Data Science

Statistical inference on machine learning or general non-parametric models

java math expression parser is faster than JEP

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

ML-powered Loan-Marketer Customer Filtering Engine

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

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

Interactive GUI (developed in Python) for calibration and conditional verification of numerical weather prediction model outputs.

Implementations of machine learning algorithm by Python 3

Pipeline for fast building text classification TF-IDF + LogReg baselines.

All in one analytics loader for vite