344 Open source projects that are alternatives of or similar to 2018-Tencent-Lookalike

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.

Extract price and indicator data from TradingView charts to create ML datasets

Open Price Comparison for US Hospitals

Ensemble learning related books, papers, videos, and toolboxes

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

AIL framework - Analysis Information Leak framework

Monoidal data processes.

manipulate JSON files

Tools to analyze cycling data

2017-CCF-BDCI-让AI当法官(初赛)：7th/415 (Top 1.68%)

基于 Golang 语言的腾讯区块链 TrustSQL SDK

《Python数据分析与挖掘实战》随书源码与数据

Python Implementation of Decay Replay Mining (DREAM)

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Binary Image Classification in TensorFlow

Well handling

The universal GraphQL API and CSPM tool for AWS, Azure, GCP, K8s, and tencent.

An (un-)ethical hacking-station based on Raspberry Pi and Python

CB-Spider provides a unified view and single interface for multi-cloud management.

Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)

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!

数据可视化, 数据挖掘, 数据处理 ETL

A toolkit for extracting comprehensible rules from tree-based algorithms

Extract indicators of compromise from text, including "escaped" ones.

나를 위한 시작페이지, Hellopage Today

Rosie Pattern Language (RPL) and the Rosie Pattern Engine have MOVED!

A scikit-learn compatible library for anomaly detection

The "Python Machine Learning (1st edition)" book code repository and info resource

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

An efficient Python implementation of the Apriori algorithm.

Data mining for materials science

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Functional data science

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Real-time sentiment analysis in Python using twitter's streaming api

Lithology and stratigraphic logs for wells or outcrop.

Information Inference Service of the OpenAIRE system

Weka package for the Deeplearning4j java library

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

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

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

The Open Source Time-Series Data Historian

Ranking, acceptance rate, deadline, and publication tips

⚡️ Ayakashi.io - The next generation web scraping framework

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

Materials for workshops on text mining, machine learning, and data visualization

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

HTML5 based online tool to extract numerical data from plot images.

No description or website provided.

Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.

Interface to manage and centralize Google Alert information

Explore high-dimensional datasets and how your algo handles specific regions.

Data Exploration with Apache Drill

The shortest yet efficient Python implementation of the sequential pattern mining algorithm PrefixSpan, closed sequential pattern mining algorithm BIDE, and generator sequential pattern mining algorithm FEAT.

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

🎓Repository for university labs on FAMCS, BSU

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

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.

sciblox - Easier Data Science and Machine Learning

Easy association rule mining and classification on the web