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5 search results found

Neuromancer ⭐ 621

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

A general-purpose, deep learning-first library for constrained optimization in Pytorch

LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization

Stochasticfrankwolfe ⭐ 9

Implementation of the Stochastic Frank Wolfe algorithm in TensorFlow and Pytorch.

Neurosymbolic Tinyml ⭐ 5

TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning

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