750 Open source projects that are alternatives of or similar to subsemble

Machine learning toolkits with Python

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.

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.

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

kgpml.github.io/deep-vessel/

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

Matlab library for gradient descent algorithms: Version 1.0.1

Time Series Ensemble Forecasting

Intention Mining in Social Networking. It Mines Emotions and polarity for the given keyword . For the keyword it searchers the twitter for the comments and analyzes the results for various events such as Election results, Sports prediction Movie ratings, Breaking news events such as demonetisation and many more. Bayes , Maximum Entropy and Hidde…

Subjective answer evaluation using machine learning. Give your answers at this link ->

Apache Arrow DataFusion SQL Query Engine

No description or website provided.

The simplest Perceptron you'll ever see

"Byteslice: Pushing the envelop of main memory data processing with a new storage layout" (SIGMOD'15)

Population Assignment using Genetic, Non-genetic or Integrated Data in a Machine-learning Framework. Methods in Ecology and Evolution. 2018;9:439–446.

🤖 An authorial collection of fundamental python recipes on Machine Learning and Artificial Intelligence.

Programmable Decision Tree Framework

A rehost of the python version of SPArse Modeling Software (SPAMS)

InsightEdge Core

PROSAC algorithm in python

Base types for OnlineStats.

TalariaDB is a distributed, highly available, and low latency time-series database for Presto

Big Data Visualization

Python Clustering Algorithms

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

Tensorflow implementation of the Restricted Boltzmann Machine

Model training, custom generative function and training for raplyrics.eu - A rap music lyrics generation project

Materials for "Machine Learning on Big Data" course

This repository contains books from different topics and perfect enough to give developers a boost in understanding the concepts of Data Science and Artificial Intelligence(other topics are also included but main highlights are these two).

an online learning algorithm library for Storm

Win probability predictions for League of Legends matches using neural networks

基于Vue、three.js、echarts，数据可视化展示项目，包含三维模型导入交互、三维模型标注等功能

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.

Exploring sklearn 🌟

An intelligently dumb calculator that uses machine learning

Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment and inference in production. Liminal provides a Domain Specific Language to build ML workflows on top of Apache Airflow.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Implemented a Convolutional Neural Network for end-to-end driving in a simulator using Tensorflow and Keras. The project involves training over 13,000 images in a unity3d simulator to steer the car successfully throughout the track

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

Resampling Tools for Time Series Forecasting with Modeltime

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

A distributed block-based data storage and compute engine

Simple and Distributed Machine Learning

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

Ppts, códigos y videos de las meetups, data science days, videollamadas y workshops. Data Science Research es una organización sin fines de lucro que busca difundir, descentralizar y difundir los conocimientos en Ciencia de Datos e Inteligencia Artificial en el Perú, dando oportunidades a nuevos talentos mediante MeetUps, Workshops y Semilleros …

Implementations of machine learning algorithm by Python 3

Service for automatically managing and cleaning up unreferenced data

A High-Performance Data Science Toolkit for the Earth Sciences

An open source library for the GPU-implementation of L-BFGS-B algorithm

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.