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Projects in Awesome Lists tagged with process-optimization

A curated list of projects in awesome lists tagged with process-optimization .

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: 17 Apr 2026

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: 18 May 2026

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: 16 Apr 2026

https://github.com/ceodaniyal/q_learning

Q-Learning Implementation for Process Optimization A reinforcement learning project that calculates the shortest route between locations using the Q-Learning algorithm. This code demonstrates how AI can optimize processes in a simulated environment with predefined states and rewards. 🚀

ai-in-operations artificial-intelligence dynamic-programming machine-learning markov-decision-process pathfinding-algorithms process-optimization python q-learning reinforcement-learning reward-systems route-optimization shortest-path-algorithm state-transition-models temporal-difference-learning

Last synced: 04 May 2026

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: 18 Apr 2026