449 Open source projects that are alternatives of or similar to data-science-popular-algorithms

经典机器学习算法的极简实现

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

A collection of research papers on decision, classification and regression trees with implementations.

A repository to keep track of all the code that I end up writing for my blog posts.

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

A fast xgboost feature selection algorithm

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Animated Visualizations of Popular Machine Learning Algorithms

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machine learning algorithms in Swift

Super fast simple k-means implementation for unidimiensional and multidimensional data.

A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.

Convert XGBoost's DMatrix format to np.array

No description or website provided.

Kaggle Kernels (Python, R, Jupyter Notebooks)

a data science blog

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

把李航老师《统计学习方法》的后几章的算法都用java实现了一遍，实现盒子与球的EM算法，扩展到去GMM训练，后来实现了HMM分词（实现了HMM分词的参数训练）和CRF分词（借用CRF++训练的参数模型），最后利用tensorFlow把BiLSTM+CRF实现了，然后为lucene包装了一个XinAnalyzer

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

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

(RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]

Automatic machine learning for tabular data. ⚡🔥⚡

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

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

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

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Latent Dirichlet Allocation

A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)

High performance topic modeling for Ruby

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

Oh-My-Papers: a Hybrid Context-aware Paper Recommendation System

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

Start a data science project with modern tools

Boosted trees in Julia

A python 3 implementation of decision tree (machine learning classification algorithm) from scratch

Explore your own text collection with a topic model – without prior knowledge.

🌳 Stacked Gradient Boosting Machines

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

Lecture content for Intro to Data Science 2018

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

Rust bindings for XGBoost.

Running Presto on k8s

Primrose modeling framework for simple production models

A github repository suggestion system

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

📒 Experiment tracking tool and model registry

R package of colour palettes based on Metallica studio album covers.

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

File processing pipelines

Algorithmic trading using machine learning.

Feature extraction by using SITF+BoF.

stratigraphic machine-learning - active work moved to Predictatops

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

Data visualization tool for wikis evolution

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

Using efficientnet to provide embeddings for retrieval

A MATLAB toolbox for classifier: Version 1.0.7

A decision tree to help you decide on the right AWS compute service for your needs.

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X