Reverse Dependencies of scikit-fuzzy

The following projects have a declared dependency on scikit-fuzzy:

• anfis — Python Adaptive Neuro Fuzzy Inference System
• asf-tools — Tools developed by ASF for working with SAR data
• Djaizz — Artificial Intelligence (AI) in Django Applications
• fcmpy — Fuzzy Cognitive Maps for Behavior Change Interventions and Evaluation
• flusstools — Analyze and design river ecosystems
• funstrat — Preprocess the bars for the trading bot.
• fuzzy-pratish — A python package to handle fuzzy operations
• gospl — A Python interface to perform Global Landscape Evolution Model
• h1st — Human-First AI (H1st)
• h1st-contrib — Human-First AI (H1st)
• harlow — Adaptive surrogate modelling
• hydrosar — Algorithms for the monitoring of hydrological hazards using data from Synthetic Aperture Radar (SAR) sensors
• intensity-normalization — normalize the intensities of various MR image modalities
• LattesLab — Set of tools to generate data products originated by Lattes CV files.
• mvmlib — Margin Value Method Library
• ndicom-fcm — no summary
• omniplot — To draw scientific plots easily
• openap1 — Open Aircraft Performance Model (OpenAP) in Python
• ordinor — Python toolkit for organizational model mining
• OWCK — Optimal Weighted Kriging / Gaussian Process
• pyoma — library to interact and build OMA hdf5 files
• python-ldl — Label distribution learning (LDL) and label enhancement (LE) toolkit implemented in python.
• rcg — Rapid catchment generator - is a tool for rapid prototyping of a hydraulic model catchments that can be read and edited with SWMM.
• research-framework — framework base para investigación
• scikit-query — scikit-query is a Python library for active query strategies in constrained clustering on top of SciPy and scikit-learn.
• UPAFuzzySystems — UPAFuzzySystems package for definition and simulation of Fuzzy Inference Systems for general and control applications.
• xyt — xyt is a python package for processing raw gps data into mobility data. xyt offers privacy-based capabilities and aims to provide a plug-and-play pipeline to leverage gps data.