Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
This repository accompanies Stochastic Finance with Python by Avishek Nag (Apress, 2024). Download the files as a zip using the green button, or clone the repository to your machine using Git.
Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.
Abstract: In the rapidly advancing Reinforcement Learning (RL) field, Multi-Agent Reinforcement Learning (MARL) has emerged as a key player in solving complex real-world challenges. A pivotal ...
Abstract: We propose a Robust Fully-Asynchronous Stochastic Gradient Tracking method (R-FAST) for distributed machine learning problems over a network of nodes, where each node performs local ...