A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
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Aug 19, 2020
#
hyper-parameter-optimization
Here are 12 public repositories matching this topic...
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
machine-learning
bioinformatics
deep-learning
cheminformatics
drug-discovery
drug-repurposing
convolutional-neural-networks
command-line-tool
prediction-model
performance-evaluation
hyper-parameter-optimization
2d-images-of-compounds
drug-target-interactions
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Jul 6, 2020 - Python
Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.
python
data-science
scikit-learn
hyper-parameter-optimization
hyper-parameter-tuning
nature-inspired-algorithms
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Aug 14, 2020 - Python
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades
cross-validation
eda
classification
modelling
beginner
feature-engineering
data-cleaning
evaluation-metrics
hyper-parameter-optimization
machinelearning-python
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Jun 11, 2020 - Jupyter Notebook
Convenient classes for optimizing Hyper-parameters, using Random search, Spearmint and SigOpt
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Sep 3, 2017 - Jupyter Notebook
Combined hyper-parameter optimization and feature selection for machine learning models using micro genetic algorithms
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Feb 13, 2018 - Python
A gradient free optimization routine which combines Particle Swarm Optimization with a local optimization for each particle
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May 15, 2020 - Python
Grammaropt : a framework for optimizing over domain specific languages (DSLs)
data-science
machine-learning
scikit-learn
grammar-specification
context-free-grammar
automated-machine-learning
hyper-parameter-optimization
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Jan 14, 2019 - Python
Pipelineopt, sckit-learn automatic pipeline optimization
data-science
machine-learning
scikit-learn
context-free-grammar
automated-machine-learning
hyper-parameter-optimization
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Sep 17, 2017 - Python
thesis
pattern-recognition
dynamic-programming
human-activity-recognition
dynamic-time-warping
distance-functions
normalization
movement-detection
linear-interpolation
multi-class-classification
hyper-parameter-optimization
subsequence-dynamic-time-warping
sakoe-chiba-band
keogh-lower-bounding
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May 17, 2019 - Kotlin
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Jun 12, 2017 - CSS
Hyper-Parameter Optimisation experiment as part of my undergraduate dissertation (2019)
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May 2, 2019 - MATLAB
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