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PhD research by Jeff Scales at University of Technology Sydney Including Generative Mechanisms in Project Scheduling Using Hybrid Simulation

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Source code of paper State estimation for nonlinear discrete–time fractional systems A Bayesian perspective

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

PAC-Bayes with Backprop - Tighter risk certificates for neural networks

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Source code of paper Fractional central difference Kalman filter with unknown prior information

fractional Kalman filter algorithms source code for SISO fractional order systems, including: fractional extended Kalman filter (FEKF), fractional central Kalman filter (FCDKF), fractional unscented Kalman filter (FUKF) and fractional particle filter (FPF)

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

100 Days of ML Coding