Reverse Dependencies of liac-arff

The following projects have a declared dependency on liac-arff:

• a2ml — A powerful API to Automate Machine Learning workflows from multiple vendors.
• aiuna — Science as data transformation
• amorf — A framework for multi-output regression in Python
• auDeep — auDeep is a Python toolkit for unsupervised feature learning with deep neural networks (DNNs)
• azure-ml-api-sdk — Microsoft Azure Machine Learning Python SDK for authoring web services
• azureml-model-management-sdk — Microsoft Azure Machine Learning Python SDK for authoring web services
• azureml-webservice-schema — azureml webservice schema
• candis — A data mining suite for DNA Microarrays.
• cf-orange — Package providing Orange widgets for ClowdFlows 2.0
• DeepMTP — a Deep Learning Framework for Multi-target Prediction
• diego — Diego: Data IntElliGence Out.
• ertk — Tools for process emotion recognition datasets, extracting features, and running experiments.
• gama — A package for automated machine learning based on scikit-learn.
• hdict — A versatile dictionary based on a novel paradigm useful for computing, caching, experiments, distributed data, among others.
• idict — Lazy dict with predictable deterministic universally unique identifiers
• ismlldataset — A Repository for Handling (Meta) Datasets
• kururu — Data Science
• lale — Library for Semi-Automated Data Science
• mindware — MindWare: Towards Efficient AutoML System.
• ml-eeg — A ml & eeg helper library
• mllearn — a package for multi-label classify
• mlrl-testbed — Provides utilities for the training and evaluation of multi-label rule learning algorithms
• openml — Python API for OpenML
• packetvisualization — packet visualization
• pymfe — Meta-feature Extractor
• sail — Python package for streaming data and incremental learning
• scikit-multilearn-ng — Scikit-multilearn-ng is the follow up to scikit-multilearn, a BSD-licensed library for multi-label classification that is built on top of the well-known scikit-learn ecosystem.
• tatu — Persistent Science