idankinderman

transformer-fusion

Official repository of the "Transformer Fusion with Optimal Transport" paper, published as a conference paper at ICLR 2024.

deit

Official DeiT repository

ee046202-unsupervised-learning-data-analysis

Jupyter Notebook tutorials for the Technion's EE 046202 course "Unsupervised Learning and Data Analysis"

ee046211-deep-learning

Jupyter Notebook tutorials for EE 046211 Deep Learning course at the Technion

Enhancing-X-ray-Image-Text-Matching

Final submission for Project-B, Electrical Engineering, Technion

individualized_calibration_for_language

individualized calibration for encoder language models based on https://arxiv.org/abs/2006.10288

IVIM-Model-Parameter-Estimation

Final submission for Project-A, Electrical Engineering, Technion

Malicious_URL_Detection

Malicious URL Detection Using Deep Learning.

Enhancing-X-ray-Image-Text-Matching

Final submission for Project-B, Electrical Engineering, Technion

merging-text-transformers

Code for "Merging Text Transformers from Different Initializations"

idankinderman/Malicious_URL_Detection

Malicious URL Detection Using Deep Learning.

idankinderman/deit

Official DeiT repository

idankinderman/ee046202-unsupervised-learning-data-analysis

Jupyter Notebook tutorials for the Technion's EE 046202 course "Unsupervised Learning and Data Analysis"

idankinderman/ee046211-deep-learning

Jupyter Notebook tutorials for EE 046211 Deep Learning course at the Technion

idankinderman/Enhancing-X-ray-Image-Text-Matching

Final submission for Project-B, Electrical Engineering, Technion

idankinderman/individualized_calibration_for_language

individualized calibration for encoder language models based on https://arxiv.org/abs/2006.10288

idankinderman/IVIM-Model-Parameter-Estimation

Final submission for Project-A, Electrical Engineering, Technion

idankinderman/causal_inference_project

idankinderman/fs_merge

Merging models with Foldable SuperNets

idankinderman/task_vectors-1

Editing Models with Task Arithmetic

idankinderman/ZipIt

A framework for merging models solving different tasks with different initializations into one multi-task model without any additional training