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The SE, IISE, MCS and Lagrange multipliers methods are used to evaluate the reliability indices of power systems. The EENS is used as the reliability indices. The RTS-79 case is included.
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
Traffic flow predict. Implementation of graph convolutional network with PyTorch
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control
We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm.
Artificial Neural Nets that incorporate Rigorous Coupled Wave Analysis into Loss Function
An Open-sourced Knowledgable Large Language Model Framework.
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"
A website displaying hundreds of charts made with Python
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
Probabilistic Modeling Toolkit for Matlab/Octave.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…