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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Jul 9, 2025 - 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
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
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
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
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
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
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
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Jun 12, 2017 - CSS
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
Hyper-Parameter Optimisation experiment as part of my undergraduate dissertation (2019)
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May 2, 2019 - MATLAB
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
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