785 Open source projects that are alternatives of or similar to Machine-learning

My GitHub blog: things you might be interested, and probably not...

Python code for common Machine Learning Algorithms

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

A day to day plan for this challenge. Covers both theoritical and practical aspects

Beginner-friendly repository to make your first Pull Request and contribute to the open-source.

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

A PureScript, browser-based implementation of LDA topic modeling.

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Predict housing prices in Portland, Oregon for selling or buying house

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Machine Learning Course @ Santa Clara University

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

The Entire Transcript from the Office in Tidy Format

General Assembly's 2015 Data Science course in Washington, DC

Companion code for Introduction to Python for Data Science: Coding the Naive Bayes Algorithm evening workshop

Code for Java Deep Learning Cookbook

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

A MATLAB toolbox for classifier: Version 1.0.7

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

GitInto's Hacktoberfest 2021 Repository

Parallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm

Testing doing basic regression with web assembly

Code accompanying the CVPR 2019 paper: https://arxiv.org/abs/1812.04155

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

The Gretel Python Client allows you to interact with the Gretel REST API.

Basic Machine Learning implementation with python

A Python library to conjugate verbs in French, English, Spanish, Italian, Portuguese and Romanian (more soon) using Machine Learning techniques.

Visually cluster your emails by sender, domain, and more to identify waste

VOSviewer Online is a tool for network visualization. It is a web-based version of VOSviewer, a popular tool for constructing and visualizing bibliometric networks.

Hacktoberfest2021

I am sharing my Journey of 66DaysofData in Natural Language Processing.

An implementation of transformer-based language model for sentence rewriting tasks such as summarization, simplification, and grammatical error correction.

Matlab library for gradient descent algorithms: Version 1.0.1

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

Powerful product analytics for data teams, with full control over data & models.

The ACE Advanced Medical System is nice, but we can do it better, even on a more realistic way and bring it on another level with these addons.

Pytorch Deep Clustering with Convolutional Autoencoders implementation

An implementation of a Quartz Scheduler JobStore using Hazelcast distributed Collections

📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.

Proto Actor - Ultra fast distributed actors

KNIME - Text Processing Extension (Labs)

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Sub-plugin for Leaflet.markercluster plugin; brings compatibility with Layers Control and other plugins

Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow

Beta Machine Learning Toolkit

Analyse academic and non-academic information of students and predict grades

A python-based time series aggregation module (tsam) which can be used to reduce the number of time steps using typical periods or by decreasing the temporal resolution

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

Language Identification Toolkit

Primrose modeling framework for simple production models

Machine Learning Procedures and Functions for Neo4j

Repository for the course on Udemy - Python for Data Science and Machine Learning Bootcamp , Jose Portilla

DataFrame support for scikit-learn.

ShortText classification

TrajSuite is a cross-platform Java application that provides a suite of trajectory data-mining and visualisation features.