Pinned Repositories
18.337_2017
18S096
18.S096 three-week course at MIT
Bayesian-Analysis-with-Python
Bayesian Analysis with Python by Packt
Econ714_Fall_2013
Examples for Econ 712, Fall 2013
nengo_examples
Instructive examples using projects in the Nengo ecosystem
neuroprocdata
Neuroproc dataset descriptions and dictionaries
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Psychopy-Code-Snippet
Some Python Scripts for programming behavioural experiments using Psychopy
resources
PyMC3 educational resources
saurabh180's Repositories
saurabh180/Econ714_Fall_2013
Examples for Econ 712, Fall 2013
saurabh180/18S096
18.S096 three-week course at MIT
saurabh180/action-oriented
Repository for "Learning action-oriented models through active inference"
saurabh180/BAP
Bayesian Analysis with Python (Second Edition)
saurabh180/Barabasi-Albert_Network
Barabási–Albert Network. A Step-by-Step Model with Visualizations created in Python 3.
saurabh180/BayesianScience
Scientific analyses using Bayesian statistics
saurabh180/Celeste.jl
Scalable inference for a generative model of astronomical images
saurabh180/CHaRTr
CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
saurabh180/CognitiveControl
A neuropsychological task measuring different aspects of cognitive control (processing speed, inhibition, conflict resolution...)
saurabh180/ComplexSpan
A Psychopy implementation of a working memory span task
saurabh180/delay3ways
Our study on bridging the gap between animal & human studies of delay-discounting
saurabh180/DynamicWalking2018.jl
Julia Robotics tutorial presented at Dynamic Walking 2018
saurabh180/Evidently
Simulate Evidence Accumulation Models in Python
saurabh180/HTTP.jl
HTTP for Julia
saurabh180/IADB_2017_Workshop
Code and teaching material for "Macroeconomic Modeling with Julia", a workshop given for the IADB at the Central Bank of Argentina in 2017
saurabh180/IntroToJulia
A Deep Introduction to Julia for Data Science and Scientific Computing
saurabh180/Julia-DataFrames-Tutorial
A tutorial on Julia DataFrames package
saurabh180/julia-quick-syntax-reference
Source Code for 'Julia Quick Syntax Reference' by Antonello Lobianco
saurabh180/markdown-cv
a simple template to write your CV in a readable markdown file and use CSS to publish/print it.
saurabh180/nistats-tutorial
Tutorial about the nistats package for fMRI analysis
saurabh180/PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
saurabh180/quantecon-notebooks-datascience
Jupyter Notebooks for https://datascience.quantecon.org
saurabh180/ReinforcementLearningAnIntroduction.jl
Julia code for the book Reinforcement Learning An Introduction
saurabh180/seaborn
Statistical data visualization using matplotlib
saurabh180/StateSpaceRoutines.jl
Package implementing common state-space routines.
saurabh180/ThinkJulia.jl
Port of the book Think Python to the Julia programming language
saurabh180/tutorials
saurabh180/Vector_Study_Analysis
saurabh180/violet
:crystal_ball: Violet Jekyll Template
saurabh180/VMLS-Companions
*This is a companion to the companion for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.