405 Open source projects that are alternatives of or similar to Quick-Data-Science-Experiments-2017

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

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

经典机器学习算法的极简实现

Python code for common Machine Learning Algorithms

Sentiment Analysis & Topic Modeling with Amazon Reviews

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Implement face recognition using PCA, LDA and LPP

LibRec: A Leading Java Library for Recommender Systems, see

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

zAnalysis是基于Pascal语言编写的大型统计学开源库

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

Interactive Visual Machine Learning Demos.

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

machine learning algorithms in Swift

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

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.

Machine Learning models from scratch with a better visualisation

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

recommender system tutorial with Python

Building recommender systems in Julia

📖Notes and remarks on Machine Learning related papers

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

A Comparative Framework for Multimodal Recommender Systems

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

A tour through recommendation algorithms in python [IN PROGRESS]

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

Some common recommendation system baseline, with description and link.

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

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

pytorch version of neural collaborative filtering

Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

Large scale training of factorization models for Collaborative Filtering with PyTorch

Lightweight Python library for in-memory matrix completion.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

A repository for recording the machine learning code

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Rcpp Machine Learning: Fast robust NMF, divisive clustering, and more

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…

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

pytorch implementation of the TwinBert paper

Essential NLP & ML, short & fast pure Python code

Rates the quality of a candidate based on his/her resume using unsupervised approaches

Statistics

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

Multiple Regression Package for PHP

Papers on recommendation system / search ranking.

PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.

A workshop on analyzing topic modeling (LDA, CTM, STM) using R

No description or website provided.

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Your Github fame is getting closer with every open-source project you've built and promoted, with every new follower starring, using and forking your solution. This extension supplements every Github developer profile with language bars that show how far they've advanced on their road to the glory among %that_programming_language% community memb…

Data Science and Matrix Optimization course

HTMLWidget wrapper of LineUp for Visual Analysis of Multi-Attribute Rankings

Three MIP models for optimal classification tree: OCT, binOCT, flowOCT

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.

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）