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An automated machine learning toolkit that serves as a drop-in replacement for scikit-learn estimators.
A curated list of key papers and resources on implicit neural representations, a novel approach to parameterizing signals as continuous functions.
Automatic neural architecture search and hyperparameter optimization for PyTorch, focusing on tabular data and time series forecasting.
An open-source benchmark suite of continuous control robotic manipulation environments for multi-task and meta reinforcement learning.
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