Pinned Repositories
F1Tech
Code from the Technion F1Tenth Team for the 2022-23 season, advised by Dr. Kiril Solovey and the CRML Laboratory of the Technion's Faculty of Electrical and Computer Engineering.
AIR-HW1
Homework assignment #1 from the Technion "AI & Robotics" course (Winter '22), taught by Prof. Sarah Keren and completed by Yotam Granov and Sharon Goldstein.
AIR-HW3
Homework assignment #3 (and final project) from the Technion "AI & Robotics" course (Winter '22), taught by Prof. Sarah Keren and completed by Yotam Granov and Sharon Goldstein.
ARMP-HW1
Homework assignment #1 from the Technion "Algorithmic Robot Motion Planning" course (Winter '22), taught by Prof. Oren Salzman and completed by Yotam Granov and Niv Ostroff. Covers the topic of exact motion planning.
ARMP-HW2
Homework assignment #2 from the Technion "Algorithmic Robot Motion Planning" course (Winter '22), taught by Prof. Oren Salzman and completed by Yotam Granov and Niv Ostroff. Covers the topic of sampling-based motion planning.
ARMP-HW3
Homework assignment #3 from the Technion "Algorithmic Robot Motion Planning" course (Winter '22), taught by Prof. Oren Salzman and completed by Yotam Granov and Niv Ostroff. Covers the topic of manipulation and inspection planning.
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).
Cognitive-Robotics-Project
Final Project for the course Cognitive Robotics - CoCreators: Alex Furman, Yotam Granov
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.
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.
Yomaster10's Repositories
Yomaster10/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).
Yomaster10/AIR-HW1
Homework assignment #1 from the Technion "AI & Robotics" course (Winter '22), taught by Prof. Sarah Keren and completed by Yotam Granov and Sharon Goldstein.
Yomaster10/AIR-HW3
Homework assignment #3 (and final project) from the Technion "AI & Robotics" course (Winter '22), taught by Prof. Sarah Keren and completed by Yotam Granov and Sharon Goldstein.
Yomaster10/ARMP-HW1
Homework assignment #1 from the Technion "Algorithmic Robot Motion Planning" course (Winter '22), taught by Prof. Oren Salzman and completed by Yotam Granov and Niv Ostroff. Covers the topic of exact motion planning.
Yomaster10/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.
Yomaster10/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.
Yomaster10/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.
Yomaster10/IAI-HW2
Homework assignment #2 from the Technion "Intro. to Artificial Intelligence" course (Winter '22), taught by Prof. Sarah Keren and completed by Yotam Granov and Matan Kutz. Covers the topic of adversarial games.
Yomaster10/IAI-HW3
Homework assignment #3 from the Technion "Intro. to Artificial Intelligence" course (Winter '22), taught by Prof. Sarah Keren and completed by Yotam Granov and Matan Kutz. Covers the topic of reinforcement learning and decision trees.
Yomaster10/technion_xmpp
Technion Faculty of Physics, Spring 2022
Yomaster10/AIR-HW2
Homework assignment #2 from the Technion "AI & Robotics" course (Winter '22), taught by Prof. Sarah Keren and completed by Yotam Granov and Sharon Goldstein.
Yomaster10/ARMP-HW2
Homework assignment #2 from the Technion "Algorithmic Robot Motion Planning" course (Winter '22), taught by Prof. Oren Salzman and completed by Yotam Granov and Niv Ostroff. Covers the topic of sampling-based motion planning.
Yomaster10/ARMP-HW3
Homework assignment #3 from the Technion "Algorithmic Robot Motion Planning" course (Winter '22), taught by Prof. Oren Salzman and completed by Yotam Granov and Niv Ostroff. Covers the topic of manipulation and inspection planning.
Yomaster10/Cognitive-Robotics-Project
Final Project for the course Cognitive Robotics - CoCreators: Alex Furman, Yotam Granov
Yomaster10/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.
Yomaster10/IAI-HW1
Homework assignment #1 from the Technion "Intro. to Artificial Intelligence" course (Winter '22), taught by Prof. Sarah Keren and completed by Yotam Granov and Lior Karne. Covers the topic of search spaces and classical search.
Yomaster10/Physics-Lab-4
Yomaster10/cayman
Cayman is a Jekyll theme for GitHub Pages
Yomaster10/CogRobTutorials
Yomaster10/rtd-tutorial