Scaled Gradient Projection (SGP) algorithm with beta divergence
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Updated
Jul 3, 2023 - Python
Scaled Gradient Projection (SGP) algorithm with beta divergence
Declarative and MILP approaches to service placement, reconciled
Tutorial on neuromorphic computing with Lava, hosted at the AutoML Fall School 2023
A collection of mathematical optimization algorithms implemented in Julia
C++ Optimization Library
My notes and exercises from the course "Operations research 1: Models and applications", offered by the National Taiwan University, taken through Coursera.
Corso "Optimization and Algorithms for Data Science" @UniPv
DrinkIceWater's Page
Programming Assignments completed under second Course of Deep Learning Specialisation(Coursera)
Contains solutions and notes for the Deep Learning Specialization by Deeplearning.ai, Andrew Ng on Coursera
A web application for mathematical optimization
Lecture notes, resources and programming assignments taken from the specialized deep learning program (a sequence of courses all related to deep learning) offered by DeepLearning.AI on coursera.
GSK algorithm
NLPModel where all functions are defined by the user
portfolio-strategy-simulation is a Python module that allows you to simulate portfolio strategies.
This repository contains my coursework and projects completed during the Deep Learning Specialization offered by DeepLearning.AI and Stanford Online.
Exercises and mathematical formulas about numerical methods, mathematical optimization and operations research realized in Python and Jupyter Notebook.
RSO: Fitting a Neural Network by Optimizing One Weight at a Time
An implementation of Ridge regression in Python
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