Projects in Awesome Lists tagged with hyper-parameter-optimization
A curated list of projects in awesome lists tagged with hyper-parameter-optimization .
https://github.com/open-edge-platform/training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
action-recognition anomaly-detection automl computer-vision datumaro deep-learning hyper-parameter-optimization image-classification image-segmentation incremental-learning machine-learning neural-networks-compression object-detection openvino pytorch quantization self-supervised-learning semi-supervised-learning transfer-learning
Last synced: 14 May 2025
https://github.com/openvinotoolkit/training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
action-recognition anomaly-detection automl computer-vision datumaro deep-learning hyper-parameter-optimization image-classification image-segmentation incremental-learning machine-learning neural-networks-compression object-detection openvino pytorch quantization self-supervised-learning semi-supervised-learning transfer-learning
Last synced: 02 Apr 2025
https://github.com/thumnlab/autogl
An autoML framework & toolkit for machine learning on graphs.
automl deep-learning graph-neural-networks hyper-parameter-optimization machine-learning neural-architecture-search pytorch pytorch-geometric
Last synced: 15 May 2025
https://github.com/THUMNLab/AutoGL
An autoML framework & toolkit for machine learning on graphs.
automl deep-learning graph-neural-networks hyper-parameter-optimization machine-learning neural-architecture-search pytorch pytorch-geometric
Last synced: 02 Apr 2025
https://github.com/PKU-DAIR/open-box
Generalized and Efficient Blackbox Optimization System
automatic-machine-learning bayesian-optimization blackbox-optimization constrained-optimization distributed-systems hyper-parameter-optimization multi-objective-optimization saas
Last synced: 05 Apr 2025
https://github.com/PKU-DAIR/mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
automl-algorithms automl-pipeline bayesian-optimization blackbox-optimization data-science deep-learning distributed-systems ensemble-learning hyper-parameter-optimization knobs-tuning machine-learning meta-learning neural-architecture-search python
Last synced: 09 May 2025
https://github.com/timzatko/sklearn-nature-inspired-algorithms
Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.
data-science hyper-parameter-optimization hyper-parameter-tuning nature-inspired-algorithms python scikit-learn
Last synced: 23 Feb 2026
https://github.com/faprieto96/pipoh
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.
hyper-parameter-optimization investment optimization portfolio
Last synced: 16 Jan 2026
