Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
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Sep 26, 2022 - Python
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hyper-parameter-optimization
Here are 22 public repositories matching this topic...
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
machine-learning
computer-vision
deep-learning
pytorch
semi-supervised-learning
image-classification
object-detection
transfer-learning
image-segmentation
quantization
action-recognition
automl
incremental-learning
anomaly-detection
hyper-parameter-optimization
self-supervised-learning
openvino
neural-networks-compression
datumaro
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Nov 15, 2024 - Python
An autoML framework & toolkit for machine learning on graphs.
machine-learning
deep-learning
pytorch
automl
neural-architecture-search
hyper-parameter-optimization
graph-neural-networks
pytorch-geometric
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Aug 8, 2024 - Python
Generalized and Efficient Blackbox Optimization System
distributed-systems
saas
constrained-optimization
multi-objective-optimization
bayesian-optimization
hyper-parameter-optimization
blackbox-optimization
automatic-machine-learning
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Oct 17, 2024 - Python
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 25, 2024 - Python
A paper collection about automated graph learning
machine-learning
deep-learning
graph
automl
neural-architecture-search
hyper-parameter-optimization
graph-neural-networks
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Jun 8, 2024
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
python
distributed-systems
data-science
machine-learning
deep-learning
ensemble-learning
bayesian-optimization
neural-architecture-search
meta-learning
hyper-parameter-optimization
blackbox-optimization
automl-algorithms
automl-pipeline
knobs-tuning
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Nov 16, 2021 - 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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Oct 3, 2023 - 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
decision
data-science
hyperparameter-tuning
decision-tree-classifier
hyper-parameter-optimization
post-pruning
cost-complexity-pruning
pruning-optimization
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Jun 1, 2022 - Jupyter Notebook
A gradient free optimization routine which combines Particle Swarm Optimization with a local optimization for each particle
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Jul 6, 2023 - 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
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
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
evaluation
cross-validation
eda
classification
modelling
feature-engineering
data-cleaning
hyper-parameter-optimization
begginer
machinelearning-python
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Sep 15, 2020 - Jupyter Notebook
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Jun 12, 2017 - CSS
Pipoh is a library that implements several diversification techniques base on mean-variance framework. In addition, it includes a novel purely data-driven methods for determining the optimal value of the hyper-parameters associated with each investment strategy.
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Aug 22, 2022 - Python
Python implementation that explores how different parameters impact a single hidden layer of a feed-forward neural network using gradient descent
python
python3
hidden-layers
hyper-parameter-optimization
hyper-parameter
feed-forward-neural-networks
ffnet
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Mar 5, 2021 - Python
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