300 Open source projects that are alternatives of or similar to 2018-JData-Unicom-RiskUser

2018-腾讯广告算法大赛-相似人群拓展(初赛)：10th/1563 (Top 0.64%)

🚨 Rumor, Fake News, Misinformation Papers

Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.

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.

This repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.

No description or website provided.

Exploring data and analyzing metrics for user-specific Medium Stats

heidi : tidy data in Haskell

机器学习、深度学习、自然语言处理

Korpuslinguistik war noch nie so einfach...

Repository for R package MetQy (read related publication here: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247936/)

🎓Repository for university labs on FAMCS, BSU

The objective of this Burp Suite extension is the flexible and dynamic extraction, correlation, and structured presentation of information from the Burp Suite project as well as the flexible and dynamic on-the-fly modification of outgoing or incoming HTTP requests using Python scripts. Thus, Turbo Data Miner shall aid in gaining a better and fas…

Converts website to json using jQuery selectors

WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets

A super-fast and scalable Random Forest library based on fast histogram decision tree algorithm and distributed bagging framework. It can be used for binary classification, multi-label classification, and regression tasks. This library provides both Python and command line interface to users.

A module for allowing the use of multiple metric functions in scikit's cross_val_score

Data Exploration with Apache Drill

Redux enabled boilerplate for React, react-bootstrap, babel and webpack ready for 2018

Tools to analyze cycling data

Scrape public FaceBook posts from any group or user into a .csv file without needing to register for any API access

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

Latest Data Science Materials

Resources for the Data Mining for Bussiness and Governance course.

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 keyphrase extractor for Persian

Easy association rule mining and classification on the web

gosquito ("go" + "mosquito") is a pluggable tool for data gathering, data processing and data transmitting to various destinations.

💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻

The FRC 2018 programming repository for FRC Team 3695, Foximus Prime

Python Implementation of Decay Replay Mining (DREAM)

📚 social networks from novels

Grabs all of the audio files from all of the Blinkist books

A collection of Jupyter Notebooks used in conferences or just to have some snippets.

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

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

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

[archived]

Information Inference Service of the OpenAIRE system

Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.

sciblox - Easier Data Science and Machine Learning

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

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

Algorithmic trading using machine learning.

Probably the best curated list of data science books in Python

At present contains scraped data from around 1500 problems present on the site. More to follow....

나를 위한 시작페이지, Hellopage Today

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Functional data science

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

A Python package for spectral proper orthogonal decomposition (SPOD).

Heart Disease prediction using 5 algorithms

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

Python implementations of the various methods used in FIRE 2019 conference.

Digital Expression Explorer 2 (DEE2): a repository of uniformly processed RNA-seq data

AI based web-wrapper for web-content-extraction

Data Mining algorithms for IDMW632C course at IIIT Allahabad, 6th semester

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

Hubness analysis and removal functions