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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).

cayman

Cayman is a Jekyll theme for GitHub Pages

cognitive-robotics-project

Final Project for the course Cognitive Robotics - CoCreators: Alex Furman, Yotam Granov

cogrobtutorials

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.

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.

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.

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.

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.

physics-lab-4

rtd-tutorial

technion_xmpp

Technion Faculty of Physics, Spring 2022