385 Open source projects that are alternatives of or similar to xforest

Korpuslinguistik war noch nie so einfach...

AIL framework - Analysis Information Leak framework

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

manipulate JSON files

Scripts, tools and example data for mapping wetland ecosystems using data driven R statistical methods like Random Forests and open source GIS

object flow treatment, data transformation

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @ZJU

《Python数据分析与挖掘实战》随书源码与数据

Functional data science

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.

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In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

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

A toolkit for extracting comprehensible rules from tree-based algorithms

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

Misc Statistics and Machine Learning codes in R

数据可视化, 数据挖掘, 数据处理 ETL

A scikit-learn compatible library for anomaly detection

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

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.

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

Data mining for materials science

This is the official implementation for the paper 'AutoEncoder by Forest'

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

Analytic platform for real-time large-scale streams containing structured and unstructured data.

An efficient Python implementation of the Apriori algorithm.

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

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

Exploring data and analyzing metrics for user-specific Medium Stats

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

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

Lithology and stratigraphic logs for wells or outcrop.

Machine Learning library written in Python and NumPy.

Weka package for the Deeplearning4j java library

Ranking, acceptance rate, deadline, and publication tips

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

The Open Source Time-Series Data Historian

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

⚡️ Ayakashi.io - The next generation web scraping framework

A keyphrase extractor for Persian

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

Interface to manage and centralize Google Alert information

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

Data Exploration with Apache Drill

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

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

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

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…

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

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.

Daggy - Data Aggregation Utility. Open source, free, cross-platform, server-less, useful utility for remote or local data aggregation and streaming

ML-powered Loan-Marketer Customer Filtering Engine

HTTP(S) Rotating Residential proxies - Code examples & General information

Social Network Analysis of Zhihu with Python

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!

Information Inference Service of the OpenAIRE system

Receipt.ID is a multi-label, multi-class, hierarchical classification system implemented in a two layer feed forward network.

Probably the best curated list of data science books in Python

Conformalized Quantile Regression