Deep Learning with Yacine on MSN

RMSProp Optimization from Scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
GitHub

x-humanoid training toolchain

This project provides a training toolchain for adapting TienKung humanoid robots and RoboMIND dataset with the open-source LeRobot framework. It enables users to facilitates development using RoboMIND ...
Breaking Defense

Northrop Grumman’s partners tout AI software, from AR training to mission planning

Northrop Grumman's test environment called Beacon includes a Scaled Composites-built Model 437 Vanguard aircraft modified for optionally autonomous flight, enabled by Northrop Grumman’s autonomous ...
GitHub

Training and evaluation of PPO and TD3 algorithms

Dear author, hello. Your work is very beautiful, and I really appreciate your open-source spirit. I have two questions I would like to ask you, and I eagerly look forward to your reply: Regarding ...
IEEE

The research of the parallel SMO algorithm for solving SVM

Abstract: In order to improve solving support vector machine algorithm, an improved learning algorithm of the parallel SMO is proposed. According to this algorithm, the master CPU averagely ...
IEEE

SVM optimization algorithm based on dynamic clustering and ensemble learning for large scale dataset

Abstract: This paper studies on the predicted regression model of support vector machines (SVM). Aiming at the shortage that with the amount of samples grows, training time increases rapidly as well, ...