84 Open source projects that are alternatives of or similar to machine-learning

Essential NLP & ML, short & fast pure Python code

A general purpose text classifier

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

The sample question for Interview a job in Binary options

Topic modelling on financial news with Natural Language Processing

Basic Machine Learning implementation with python

Heart Disease prediction using 5 algorithms

Gaussian Naive Bayes (GaussianNB) classifier

Exploiting Explainable Metrics for Augmented SGD [CVPR2022]

Document classification using Latent semantic analysis in python

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

A clustering tutorial with scikit-learn for beginners.

R code for Time Series Analysis and Its Applications, Ed 4

Building recommender systems in Julia

HiCMA: Hierarchical Computations on Manycore Architectures

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

Ruby Scoring API for PMML

Tensorflow implementation of preconditioned stochastic gradient descent

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.

经典机器学习算法的极简实现

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Sancho McCann's PhD Thesis Research Code

Code for the algorithms in the paper: Vaibhav B Sinha, Sukrut Rao, Vineeth N Balasubramanian. Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification. KDD WISDOM 2018

Slides and notebooks for my tutorial at PyData London 2018

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

Notebooks explaining the intuition behind the Expectation Maximisation algorithm

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.

SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Implementation of feature engineering from Feature engineering strategies for credit card fraud

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

A MATLAB toolbox for classifier: Version 1.0.7

c++ implementation of clustering by DBSCAN

A Julia package for robust regressions using M-estimators and quantile regressions

naive bayes in php

machine learning

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

Sentiment Analysis & Topic Modeling with Amazon Reviews

🧠 A Simple Node.js Naive Bayes Library.

Golang Utilities for Data Analysis

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

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

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Animated Visualizations of Popular Machine Learning Algorithms

A demonstration of how to use PyTorch to implement Support Vector Machine with L2 regularizition and multiclass hinge loss

A UNIFIED SPEECH ENHANCEMENT FRONT-END FOR ONLINE DEREVERBERATION, ACOUSTIC ECHO CANCELLATION, AND SOURCE SEPARATION

Stock predictor using Machine Learning

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

Large Data Analysis Course Project

Support Vector Machine in Javascript

A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Information Retrieval in High Dimensional Data (class deliverables)

Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define m…

No description or website provided.