NaiveGAflux.jl
eigenlearning
| NaiveGAflux.jl | eigenlearning | |
|---|---|---|
| 2 | 5 | |
| 41 | 49 | |
| - | - | |
| 7.3 | 3.3 | |
| 5 months ago | about 1 year ago | |
| Julia | Jupyter Notebook | |
| MIT License | - |
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NaiveGAflux.jl
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Neural Architecture Search (NAS) [D]
Fwiw (and shameless plug disclaimer), I made a library for easily toying around with evolution based NAS. It uses mixed integer programming to align the neurons (e.g. when resizing a layer) which it gives much higher degrees of freedom over what architectures one can allow in the search space over anything else I have seen: https://github.com/DrChainsaw/NaiveGAflux.jl
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[P] NAS repos
Maybe not exactly what you are looking for, but: https://github.com/DrChainsaw/NaiveGAflux.jl
eigenlearning
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Neural Architecture Search (NAS) [D]
In addition to using a validation set, there is research w.r.t. the neural tangent kernel which claims that metrics correlated to both training speed and generalization can be computed from the NTK. This would then remove/reduce the need for training as one can substitute it with computing the NTK. I don’t have a complete list of references, but here is one example and another where they have applied NTK (and number of linear regions) to NAS.
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[R] Neural Tangent Kernel Eigenvalues Accurately Predict Generalization
Code for https://arxiv.org/abs/2110.03922 found: https://github.com/james-simon/eigenlearning
What are some alternatives?
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
first-order-model - This repository contains the source code for the paper First Order Motion Model for Image Animation
GeneticAlgorithmPython - Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
neural-tangents - Fast and Easy Infinite Neural Networks in Python
AlphaZero.jl - A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
shap - A game theoretic approach to explain the output of any machine learning model.
model-zoo - Please do not feed the models
fastai - The fastai deep learning library
NaiveNASlib.jl - Relentless mutation!!