Pinned Repositories
2019-CS109B
adopy
Adaptive Design Optimization for Experimental Tasks
aibiology.github.io
Web content
AppliedStatisticsForNeuroscience
Materials for UC Berkeley Neuroscience 299
Bayesian-Cognitive-Modeling-in-Pymc3
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
BeginningsInPyStan
saurabhr's Repositories
saurabhr/2019-CS109B
saurabhr/AppliedStatisticsForNeuroscience
Materials for UC Berkeley Neuroscience 299
saurabhr/BeginningsInPyStan
saurabhr/ChoiceConfidenceControlExp
saurabhr/ChoiceConfidenceExp
saurabhr/cog_summer_workshops_2021
saurabhr/cogpsychpy
a collection of scipts to streamline descriptive statistics for psychology data
saurabhr/introPy
Materials for a 2 week Python course taught at the Research Master Psychology (University of Amsterdam)
saurabhr/Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
saurabhr/jsPsychTutorial
saurabhr/Keras-PyTorch-AvP-transfer-learning
We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!
saurabhr/Linux_training
Intro to Linux training material
saurabhr/metadPy
Metacognitive efficiency modelling in Python.
saurabhr/mptpy
Multinomial Process Trees (MPTs) in Python.
saurabhr/nbdev
exploringNbdev
saurabhr/PRED
Pairwise relative distance (PRED) is a metric of vector similarity and class separability. This repository contains code for calculating it.
saurabhr/PRED_analysis
Code used in our manuscript comparing features of PRED with other metrics of vector similarity and class separability
saurabhr/preprocessing_pipelines
Preprocessing Pipelines for EEG (MNE-python), fMRI (nipype), MEG (MNE-python/autoreject) data
saurabhr/Problem-Solving-with-Python-37-Edition
Repo for the book Problem Solving with Python 3.7 Edition by Peter D. Kazarinoff, PhD. The newest edition of Problem Solving with Python book.
saurabhr/psych101d
Course materials for PSYCH101-D. "Data Science for Research Psychology"
saurabhr/pubmed_playbook
python notebooks to get information on research literature from pubmed
saurabhr/Python_for_Psychologists_Winter2021
The repository for the "Python for Psychologists" Course, winter term 2021.
saurabhr/PythonBasics
Basics of python to get you up and running.
saurabhr/Pytorch-Learn
Learn pytorch the hard way
saurabhr/pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
saurabhr/pytutorial_psychopy
saurabhr/saurabhr
saurabhr/unconfeats
saurabhr/UvA_experiments
Experiments University of Amsterdam
saurabhr/workshop_pybrain