djmartingale's repositories
mgrid
multilayer network for power grid with multiple voltage levels
awesome-causality-algorithms
An index of algorithms for learning causality with data
deeplearning-models
A collection of various deep learning architectures, models, and tips
Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
mlopt
The Machine Learning Optimizer
Golden-Ratio-PDA
Golden-Ratio Primal-Dual Algorithm
HybridAngleControl-HAC
Implementation of Grid-Forming HAC for Converter Connected to an Infinite Bus
MPC-and-MHE-implementation-in-MATLAB-using-Casadi
This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimization. A non-holonomic mobile robot is used as a system for the implementation. The workshop video recording can be found here https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL ... Casadi can be downloaded here https://web.casadi.org/
AI-mag
AI-mag: Inductor Modeling and Design with FEM and Artificial Neural Network
STFGNN
Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)
4-Machine
Modified Kundur 4-machine power system model used to study sensor feedback limitations
mpc.pytorch
A fast and differentiable model predictive control (MPC) solver for PyTorch.
OpenTUMFlex
Flexibility model using Python
EstRDF-slides
Slides for defence of my master thesis
stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
FederatedLearningWithSVRG
The code in order to implement SVRG on Federated System
pymarl
Python Multi-Agent Reinforcement Learning framework
deep-koopman
IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
mopo
Code for MOPO: Model-based Offline Policy Optimization
cog
[CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Introduction_to_statistical_learning_summary_python
Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
time_series
Data package: time series of load, wind and solar generation
120-DS-Interview-Questions
My Answer to 120 Data Science Interview Questions
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
safety-starter-agents
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
Circular-Tank-PFEM-CDC-supplementary-material
Source codes and numerical results of our CDC paper "Port-Hamiltonian modeling, discretization and feedback control of a circular water tank"
hello-algorithm
🌍 东半球最酷的学习项目 | 1、我写的三十万字算法图解 2、千本开源电子书 3、100 张思维导图 4、100 篇大厂面经 5、30 个学习专题 🚀 🚀 🚀 右上角点个 star，加入我们万人学习群！English Supported！
Proximal-gradient-method
Adaptive Proximal Gradient Methods