autogluon
NaiveNASlib.jl
autogluon | NaiveNASlib.jl | |
---|---|---|
19 | 1 | |
5,088 | 17 | |
- | - | |
9.9 | 6.7 | |
over 1 year ago | 4 months ago | |
Python | Julia | |
Apache License 2.0 | MIT License |
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autogluon
NaiveNASlib.jl
-
[R] Python ML Library for defining highly granular network architectures?
I made this a while ago to experiment with neural architecture search: https://github.com/DrChainsaw/NaiveNASlib.jl
What are some alternatives?
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
BetaML.jl - Beta Machine Learning Toolkit
carefree-learn - Deep Learning ❤️ PyTorch
NaiveGAflux.jl - Evolve Flux networks from scratch!
Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
DFSpot-Deepfake-Recognition - Determine whether a given video sequence has been manipulated or synthetically generated
Lux.jl - Explicitly Parameterized Neural Networks in Julia
featuretools - An open source python library for automated feature engineering
autogluon - Fast and Accurate ML in 3 Lines of Code
DeepCriticalLearning - Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
Time-Series-Library - A Library for Advanced Deep Time Series Models.