460 Open source projects that are alternatives of or similar to C4.5

Machine Learning models from scratch with a better visualisation

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…

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

An Interactive Approach to Understanding Deep Learning with Keras

This is the implementation of Sparse Projection Oblique Randomer Forest

Conceptual & empirical comparisons between decision forests & deep networks

🍊 📊 💡 Orange: Interactive data analysis

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Simple machine learning library / 簡單易用的機器學習套件

Tribuo - A Java machine learning library

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

memory efficient, fast & precise taxnomomic classification system for metagenomic read mapping

This is a repository for an image classification inference API using the Gluoncv framework. The inference REST API works on CPU/GPU. It's supported on Windows and Linux Operating systems. Models trained using our Gluoncv Classification training repository can be deployed in this API. Several models can be loaded and used at the same time.

Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)

A curated list of data mining papers about fraud detection.

A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.

🏭 JavaScript Machine Learning Toolkit

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

Algorithms to automatically discover stops and moves in GPS trajectories.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Classification for covid-19 chest X-ray images using Lightning

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

A comparative assessment of machine learning classification algorithms applied to poverty prediction

This is a Flask app that can classify images of dog and cat. The underlying model is a CNN trained using Keras framework

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Implementation of different techniques to find insights from the satellite data using Python.

Code for Tensorflow Machine Learning Cookbook

Chinese Question Classifier (Keras Implementation) on BQuLD

A collection of tools for chemometrics and machine learning written in Julia.

Service Classification based on Service Description

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

all kinds of text classification models and more with deep learning

TiMBL implements several memory-based learning algorithms.

Create and manage PE node groups as resources.

Generalized Data-free Universal Adversarial Perturbations

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Yet another neural network library

Data augmentation for NLP, presented at EMNLP 2019

For extensive instructor led learning

Gesture Recognition using TensorFlow

A Julia machine learning framework

A Python package for time series classification

PHP-ML - Machine Learning library for PHP

Skin cancer classification using Inceptionv3

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

a standard filetree for /r/datacurator [ and r/datahoarder ]

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

A scikit-learn based module for multi-label et. al. classification

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Predicting forex binary options using time series data and machine learning

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Deep neural network framework for multi-label text classification

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

MobileNetV3 in pytorch and ImageNet pretrained models

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Heatmap-integrated Decision Tree Visualizations

🏷 iOS11 demo application for predicting gender from first names.