JobShopLib
A modular Python library for creating, solving, and visualizing job shop scheduling problems. Includes a highly customisable reinforcement learning gymnasium environment to solve the problem sequentially with graph neural networks Followed good software engineering practices: modular design (SOLID and \textit{Clean Code}’s principles), automatic tests, linting, and documentation page Being used by the community: 58 stars and eight contributors.
Feb 15, 2024
Generating Realistic and Difficult JSSP Instances with an Adapted Adjacency-Matrix-based GAN
Generative adversarial framework to produce larger, harder Job Shop Scheduling Problem instances plus a novel difficulty metric.
Jan 31, 2024
Retrieval-based Question Answering System for Videos
RAG and extractive QA pipelines to answer natural language questions over entire YouTube playlists.
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Vectorised Tabular Reinforcement Learning Framework
Educational framework with vectorised dynamic programming and double Q-learning solving classic control problems.
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Keras-like Deep Learning Framework from Scratch (NumPy)
Educational deep learning library implementing core layers, activations, optimisers, and training loop with NumPy only.
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