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View All on GitHub Make zero-shot automl more discoverable 4 months ago
documentation good first issue
microsoft/FLAML microsoft/FLAML A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
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A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
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#automated-machine-learning#automl#classification#data-science#deep-learning#finetuning#hyperparam#hyperparameter-optimization#jupyter-notebook#machine-learning#natural-language-generation#natural-language-processing#python#random-forest#regression#scikit-learn#tabular-data#timeseries-forecasting#tuning
Support of SMOTE with cross-validation 4 months ago
enhancement help wanted
microsoft/FLAML microsoft/FLAML A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Open project →
4.4K
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Jupyter Notebook
#automated-machine-learning#automl#classification#data-science#deep-learning#finetuning#hyperparam#hyperparameter-optimization#jupyter-notebook#machine-learning#natural-language-generation#natural-language-processing#python#random-forest#regression#scikit-learn#tabular-data#timeseries-forecasting#tuning
support anomaly detection 4 months ago
enhancement good first issue
microsoft/FLAML microsoft/FLAML A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Open project →
4.4K
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Jupyter Notebook
#automated-machine-learning#automl#classification#data-science#deep-learning#finetuning#hyperparam#hyperparameter-optimization#jupyter-notebook#machine-learning#natural-language-generation#natural-language-processing#python#random-forest#regression#scikit-learn#tabular-data#timeseries-forecasting#tuning
Conditional parameter flow2 crash 5 months ago
bug good first issue
microsoft/FLAML microsoft/FLAML A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Open project →
4.4K
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Jupyter Notebook
#automated-machine-learning#automl#classification#data-science#deep-learning#finetuning#hyperparam#hyperparameter-optimization#jupyter-notebook#machine-learning#natural-language-generation#natural-language-processing#python#random-forest#regression#scikit-learn#tabular-data#timeseries-forecasting#tuning
API and documentation of preprocessors 9 months ago
documentation enhancement help wanted
microsoft/FLAML microsoft/FLAML A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Open project →
4.4K
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Jupyter Notebook
#automated-machine-learning#automl#classification#data-science#deep-learning#finetuning#hyperparam#hyperparameter-optimization#jupyter-notebook#machine-learning#natural-language-generation#natural-language-processing#python#random-forest#regression#scikit-learn#tabular-data#timeseries-forecasting#tuning
[Issue]: How does FLAML handle missing values 10 months ago
documentation help wanted
microsoft/FLAML microsoft/FLAML A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Open project →
4.4K
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Jupyter Notebook
#automated-machine-learning#automl#classification#data-science#deep-learning#finetuning#hyperparam#hyperparameter-optimization#jupyter-notebook#machine-learning#natural-language-generation#natural-language-processing#python#random-forest#regression#scikit-learn#tabular-data#timeseries-forecasting#tuning
Expand the docs to include new estimators 10 months ago
documentation help wanted
microsoft/FLAML microsoft/FLAML A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Open project →
4.4K
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Jupyter Notebook
#automated-machine-learning#automl#classification#data-science#deep-learning#finetuning#hyperparam#hyperparameter-optimization#jupyter-notebook#machine-learning#natural-language-generation#natural-language-processing#python#random-forest#regression#scikit-learn#tabular-data#timeseries-forecasting#tuning