Fahad Abul's Projects
Machine Learning for Time-Series with Python.Published by Packt
Python code for common Machine Learning Algorithms
Color schemes for default macOS Terminal.app
Mastering Linux Shell Scripting - Second Edition, published by Packt
Please explore my five masters Machine learning projects reports here: https://www.researchgate.net/project/Graduate-Course-projects
Implementation of Optimization Techniques for Economic Dispatch of Power Systems
WITH PID CONTROL & COLOR SENSING
Repository containing notebooks of my posts on Medium
Code repository for my book "Microservice APIs" (https://www.manning.com/books/microservice-apis)
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A Mixed-Integer-Linear-Programming (MILP) problem, formulation, and solution for a power systems generator biding strategy. The objective function is the sum of the unit price of the MW multiplied by the quantity to be accepted added to the other ranges and their respective products plus the no-load cost.
Various implementations (some from scratch, some using available libraries) of Machine Learning, Deep Learning algorithms.
Machine learning strategies for multi-step-ahead time series forecasting
Business Plan
To simulate magnetic behavior of a Ferromagnetic Material subject to temperature variation
Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control
Most Simple Building Energy Model
An R package for forecasting volatility, using the Markov Switching Multifractal model.
Multiscale Solar Water Heating
A project on using mathematical programming to solve multi-modal transportation cost minimization in goods delivery and supply chain management.
Source code for Multiple Criteria Decision Aid by Jason Papathanasiou, Nikolaos Ploskas
Learn to use fbprophet, a powerful statisitical forecasting library from facebook. It works best for complex seasonal time series.
Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Natural Language Processing with Python Cookbook, published by Packt
Storage arbitrage operation under equal buying and selling price of electricity in presence of inelastic load and renewable generation
Reproduction of Network Inference via the Time-Varying Graphical Lasso
Ipython notebooks on various topics
Energy hubs optimization
An open-source flexibility quantification model using Python
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent