djmartingale's repositories
basic_reinforcement_learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Consensus-ADMM
An example of using ADMM method to solve a consensus problem
DeepLearningBook
MIT Deep Learning Book in PDF format
EnergyManagementSystem
Full version of energy management system for hybrid AC/DC microgrid power parks
FreeML
Data Science Resources (Mostly Free)
game-theory-cheat-sheet
Game Theory Cheat Sheet
Individual-household-electric-power-consumption-Data-Set-
Individual household electric-power consumption Data Set (LSTM) [tutorial]
Interview-Practice-Data-Analyst-Udacity
Data Analyst Job Interview Practice - Questions Answering
KoopmanMPC_for_flowcontrol
A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control
looping_python
Python loop optimization for numerical calculations
ml-coursera
Andrew Ng's Machine Learning course code
ML-From-Scratch
Bare bones Python implementations of Machine Learning models and algorithms. Aims to cover everything from Data Mining techniques to Deep Learning.
models
Models and examples built with TensorFlow
NetComp
Comparative metrics for dynamic networks in Python
openDAM
Open source implementation of market clearing algorithm for EU day ahead market
OPF-ADMM
Using Alternating Direction Method of Multipliers to solve AC Optimal Power Flow Problem
pagmo
A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model. State of the art optimization algorithms are included. A common interface is provided to other optimization frameworks/algorithms such as NLOPT, SciPy, SNOPT, IPOPT, GSL
port-hamiltonian
Some partial results of my research on port-Hamiltonian systems.
Practical_RL-coursera
My Solution to the Programming Assignments for Practical Reinforcement Learning from Coursera
RobustRL
Ambiguity set construction for Model based Robust Reinforcement Learning.
scalable_maddpg
scalable multi agents reinforcement learning
stanford_dl_ex
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Transfer-learning-with-TrAdaBoost
Scikit-learn style implementation of TrAdaBoost algorithm
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
TSE2018-SDDP
Model for paper on IEEE transactions on sustainable energy: Application of Stochastic Dual Dynamic Programming to the Real-Time Dispatch of Storage under Renewable Supply Uncertainty
VariationalInequality.jl
Solving variational inequality problems, modeling via JuMP