aimclub/Fedot.Industrial

[PROD-01] Реализовать раннюю классификацию по префиксу ряда about 1 month ago

enhancement good first issue

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

[SCI-01] Сравнить политики выбора окна на независимой проверке about 1 month ago

enhancement good first issue

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

[TRE-02 / TRE-104] Сравнить реализации оптимизации на SPD-многообразии about 1 month ago

good first issue

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

MMT-106: Reproduce fusion_over_raw As An Industrial Benchmark Preset 5 months ago

enhancement good first issue

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

MMT-105: Add Industrial Benchmark Adapters For FUTURE And MiniRocket Ridge 5 months ago

enhancement good first issue

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

MMT-104: Add Bottleneck Fusion Variants After MVP Stabilization 5 months ago

enhancement good first issue

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

MMT-103: Port FUTURE Encoder Registry And MVP Fusion Classifier 5 months ago

enhancement good first issue

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

TRE_SCI-104: How to choose tangent space 5 months ago

good first issue question

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

TRE_SCI-103: Loss of information after SPD transform 5 months ago

good first issue question

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

TRE_SCI-102: Definition of Manifold subject in case of time series 5 months ago

good first issue question

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

TRE_SCI-101: How improve SPD represantation for Riemman extractor 5 months ago

good first issue question

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

Examples, docs и migration guide для нового detection stack 5 months ago

documentation good first issue examples

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

Canonical detection registry + alias policy 5 months ago

enhancement good first issue refactoring repository

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

TRE-107: Decide GTDA vs Torch Backend Strategy For Topological Features 5 months ago

good first issue

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

KL-302: Улучшить UX benchmark runner-ов и defaults для custom datasets 5 months ago

bug good first issue

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

KL-106: Ввести единый модуль агрегации результатов экспериментов 5 months ago

good first issue

aimclub/Fedot.Industrial

87

Python framework for automated time series classification, regression and forecasting

Python

#anomaly-detection#automl#evolutionary-algorithms#feature-extraction#fedot#machine-learning#time-series-classification

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