Yotam Granov's repositories
ARMP-Project
Final project from the Technion "Algorithmic Robot Motion Planning" course (Winter '22), taught by Prof. Oren Salzman and completed by Yotam Granov. Investigated the implementation of motion planning algorithms for a small-scale autonomous racecar (F1Tenth).
Deep-Learning-HW-1
Homework assignment #1 from the Technion "Deep Learning on Computational Accelerators" course (Spring '22), taught by Prof. Alex Bronstein and completed by Yotam Granov and Yuval Yaniv. Covers the topic of supervised learning and an introduction to PyTorch.
Deep-Learning-HW-2
Homework assignment #2 from the Technion "Deep Learning on Computational Accelerators" course (Spring '22), taught by Prof. Alex Bronstein and completed by Yotam Granov and Yuval Yaniv. Covers the topic of MLP's and CNN's.
Deep-Learning-HW-3
Homework assignment #3 from the Technion "Deep Learning on Computational Accelerators" course (Spring '22), taught by Prof. Alex Bronstein and completed by Yotam Granov and Yuval Yaniv. Covers the topic of sequential models, VAE's, and GAN's.
technion_xmpp
Technion Faculty of Physics, Spring 2022
Cognitive-Robotics-Project
Final Project for the course Cognitive Robotics - CoCreators: Alex Furman, Yotam Granov
Deep-Learning-HW-4
Final project (HW#4) from the Technion "Deep Learning on Computational Accelerators" course (Spring '22), taught by Prof. Alex Bronstein and completed by Yotam Granov. Developed the PNMI-FGSM method for generating patch adversarial attacks on a SOTA visual odometry system.
cayman
Cayman is a Jekyll theme for GitHub Pages