Aleksei Mashlakov's Projects
Exercises and supplementary material for the deep learning course 02456 using PyTorch.
Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
A beautiful, simple, clean, and responsive Jekyll theme for academics
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Awesome Docker Compose samples
Multi-Timescale Forecasting of Battery Energy Storage State-of-Charge under Frequency Containment Reserve for Normal Operation
š A ranked list of awesome Python open-source libraries and tools. Updated weekly.
A repository containing code for Medium articles
Chemical Process Control
Teaching materials for the applied machine learning course at Cornell Tech
Additional exercises and data for EE364a. No solutions; for public consumption.
Power Network Optimization and Simulation.
Data Science Using Python
Collection of useful data science topics along with code and articles
Template for a data science project
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
A tutorial demonstrating how to implement deep learning models for time series forecasting
Coding Demos from the School of AI's Move37 Course
This repo houses the data and project: Ecuador Retail Store Sales.
An open-access benchmark and toolbox for electricity price forecasting
Pytorch implementation of various Attention Mechanism
A hardware-in-loop pipeline for bidding battery storage capacity into FCR-N market though local energy market
Flexibility metadata registry based on Web-of-Things concept
This repository contains the source code utilised for the paper: "Decentralized cooperative scheduling of prosumer flexibility under forecast uncertainty"
Implementation of generative models to compute scenario of renewable generation and consumption.