437 Open source projects that are alternatives of or similar to sciblox

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

REPO MOVED TO https://github.com/repetere/jsonstack-data - Data Science and Machine learning in JavaScript

NLP tutorial

Heart Disease prediction using 5 algorithms

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Scripts demo-ing how to train a Word2Vec model and reduce its vector space

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

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Probably the best curated list of data science books in Python

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Archives and Tasks for ML+ sessions

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A marketing tool that helps you to market your products using organic marketing. This tool can potentially save you 1000s of dollars every year. The tool predicts the reach of your posts on social media and also suggests you hashtags for captions in such a way that it increases your reach.

The repository host the API for the ML model via FastAPI, Flask and contains android app development files using KivyMD.

Imputation method for scRNA-seq based on low-rank approximation

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.

A toolkit for extracting comprehensible rules from tree-based algorithms

Kali Intelligence Suite (KIS) shall aid in the fast, autonomous, central, and comprehensive collection of intelligence by executing standard penetration testing tools. The collected data is internally stored in a structured manner to allow the fast identification and visualisation of the collected information.

Data mining for materials science

Template codes and examples for Python machine learning concepts

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

Korpuslinguistik war noch nie so einfach...

Python library for reading and writing well data using Log ASCII Standard (LAS) files

Easy association rule mining and classification on the web

Interface to manage and centralize Google Alert information

Python scripts to extract tweets and facebook posts from public users.

Flow-based data pre-processing for deep learning

Open Price Comparison for US Hospitals

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

Repository for a data science starter app using Flask, Angular and Docker. https://medium.com/@dvelsner/deploying-a-simple-machine-learning-model-in-a-modern-web-application-flask-angular-docker-a657db075280

Monoidal data processes.

Dummy variable generation with fit/transform capabilities

object flow treatment, data transformation

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

A Python package for hubness analysis and high-dimensional data mining

Tools to analyze cycling data

Implemented an A/B Testing solution with the help of machine learning

detect objects using svm and opencv

Building Decision Trees From Scratch In Python

Python library for custom entity recognition using Sklearn CRF

📝 An awesome Data Science repository to learn and apply for real world problems.

An AI Assistant More Than a Toolkit

🍊 📊 💡 Orange: Interactive data analysis

Topic modelling on financial news with Natural Language Processing

some python projects

A keyphrase extractor for Persian

Social media scraping / data collection tool for the Facebook, Twitter, Reddit, YouTube, Pinterest, and Tumblr APIs

SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data

Curated list of Python resources for data science.

Base machine learning image and environment.

Analyze Data with Pandas-based Networks. Documentation:

CSVs de las versiones estenográficas de las conferencias matutinas del Presidente Andres Manuel López Obrador ( Mañaneras AMLO )

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.

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

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

An automatic machine learning system

Functional data science