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

Object classification with CIFAR-10 using transfer learning

React hook library for managing cart state

📈 Machine Learning from the perspective of a Statistician using R

Shopping cart composer package

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。

Deanonymizing Tor or VPN users with website fingerprinting and machine learning.

Kaggle getting started competition examples

Django e-commerce web application with advanced features

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Material of the Kaggle Berlin meetup group!

Machine Learning library for the web and Node.

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Secure collaborative training and inference for XGBoost.

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Heart Disease prediction using 5 algorithms

All Relevant Feature Selection

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A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Implementing Naive Bayes Classification algorithm into PHP to classify given text as ham or spam. This application uses MySql as database.

Example Storefront is Reaction Commerce’s headless ecommerce storefront - Next.js, GraphQL, React. Built using Apollo Client and the commerce-focused React UI components provided in the Storefront Component Library (reactioncommerce/reaction-component-library). It connects with Reaction backend with the GraphQL API.

Deep Learning using Rectified Linear Units (ReLU)

Conformalized Quantile Regression

Classify short texts with neural network.

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

A repository for some of the code I used in kaggle data science & machine learning tasks.

Automated script for Whole Foods and Amazon Fresh delivery slot

[Done] Master version: developed the stacked regression (score 0.11, top 5%) based on (xgboost, sklearn). Branch v1.0: developed linear regression (score 0.45) based on Tensorflow

A toolkit for extracting comprehensible rules from tree-based algorithms

Machine Learning models from scratch with a better visualisation

This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.

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📊 Naive Bayes classifier for JavaScript

Allstate Kaggle Competition ML Capstone Project

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

Deep and Machine Learning for Microscopy

Simple image classifier microservice using tensorflow and sanic

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

subsemble R package for ensemble learning on subsets of data

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

This is the implementation of Sparse Projection Oblique Randomer Forest

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

Mercado Pago's Official WooCommerce Plugin

Simple and Distributed Machine Learning

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

Is This a Joke? Humor Detection in Spanish Tweets

AvoRed an Open Source Laravel Shopping Cart