HoangP8/torchidl
torchidl: a general library for implicit models
This is a library for machine learning researchers and practitioners who build deep learning models. It helps you construct implicit deep learning models, which determine hidden states by solving fixed-point equations, rather than traditional sequential processing. You provide your training data and model configuration, and it outputs a trained implicit neural network that can offer advantages in stability, memory efficiency, and expressivity compared to standard feedforward networks.
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Use this if you are a machine learning researcher or engineer exploring advanced neural network architectures and need a flexible framework to implement and experiment with implicit deep learning models.
Not ideal if you are looking for a simple, out-of-the-box solution for common deep learning tasks without diving into novel model architectures or if you are not comfortable with core deep learning concepts.
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3
Language
Python
License
MIT
Category
Last pushed
Mar 14, 2025
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