Projects in Awesome Lists tagged with process-optimization
A curated list of projects in awesome lists tagged with process-optimization .
https://github.com/ansible-lockdown/github_windows_iac
:computer: Workflow Data For Github Actions & Windows Server Testing of Lockdown Enterprise Content :computer:
agile-workflows approval-workflows automation business-processes collaboration-tools cross-team-collaboration document-workflows process-optimization project-management task-management time-management workflow-analytics workflow-automation workflow-design workflow-efficiency workflow-integration workflow-security workflow-streamlining workflow-templates workflow-tracking
Last synced: 20 Jan 2026
https://github.com/leg0shii/task-modeller
This tool models and optimizes user tasks based on real-world behaviors. It transforms individual task models into unified, constraint-driven representations, using examples like Wordle to demonstrate its effectiveness. The tool visualizes task flows for better design and efficiency.
as-is-model behavior-driven-development ctt hci interaction-design modelling-tool process-optimization task-management to-be-model user-behavior-analysis user-experience
Last synced: 06 Dec 2025
https://github.com/deepbiolab/reinforce-bio
Research on leveraging reinforcement learning to optimize bioprocess parameters and improve efficiency in biological systems.
bioprocess-optimization bioreactor biotechnology ddpg deep-learning deep-reinforcement-learning gaussian-process hybrid-modeling neuralode process-optimization reinforcement-learning simulation
Last synced: 06 Oct 2025
https://github.com/deepbiolab/neural-bio
A hybrid modeling framework combining neural networks with physics-based constraints for bioreactor process optimization and control.
bioreactor biotechnology hybrid-modeling neural-networks physics-informed-neural-networks pinn process-optimization
Last synced: 09 Mar 2025
https://github.com/nurulashraf/polynomial-regression-manufacturing
A Python project implementing polynomial regression to analyse and predict manufacturing-related data. Features include data preprocessing, model training, and visualisation of results. Ideal for exploring machine learning applications in manufacturing process optimisation.
data-analysis data-visualization machine-learning manufacturing polynomial-regression predictive-modeling process-optimization python regression-models scikit-learn
Last synced: 28 Feb 2025