Eitan Hemed's repositories
automatically_controlled
Code and data from the manuscript "Automatically Controlled: Task Irrelevance Fully Cancels Otherwise Automatic Imitation" (Hemed et al., 2021; Journal of Experimental Psychology: General)
Poster-Behavioral-Data-Science-Symposium-Technion-2023
Poster presented at the 1st Technion Behavioral Data Science Symposium (1/1/23)
agas
Agas is a small Python library for pairing data series based on aggregate measures
articulated-animation
Code for Motion Representations for Articulated Animation paper
cooltools
The tools for your .cool's
deep_privacy2
DeepPrivacy2 - A Toolbox for Realistic Image Anonymization
EitanHemed.github.io
Personal GitHub site
pims
Python Image Sequence: Load video and sequential images in many formats with a simple, consistent interface.
psychopy
For running psychology and neuroscience experiments
python-workshop-2023
Workshop materials for "Introduction to data analysis using Python"
seaborn
Statistical data visualization in Python
statsmodels
Statsmodels: statistical modeling and econometrics in Python
OpenGoPro
An open source interface specification to communicate with a GoPro camera with accompanying demos and tutorials.
pavlovia-survey-utils
pavlovia-survey-utils is a Python library for data retrieval from Pavlovia surveys
psychojs
PsychoJS is the online counterpart of the PsychoPy Python library
scikit-learn
scikit-learn: machine learning in Python
Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis