d-r-b-o-b / EightyFivePercentRuleLinks
Code to replicate the figures from "The Eighty Five Percent Rule for Optimal Learning"
☆20Updated 6 years ago
Alternatives and similar repositories for EightyFivePercentRule
Users that are interested in EightyFivePercentRule are comparing it to the libraries listed below
Sorting:
- Materials for UC Berkeley Neuroscience 299☆53Updated 5 years ago
- Notebooks for deep learning course☆14Updated 3 years ago
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆10Updated 2 years ago
- ☆94Updated 3 years ago
- Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth☆99Updated 7 months ago
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆60Updated 5 years ago
- Visualizing memorization in RNNs☆66Updated 5 years ago
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018☆34Updated 5 years ago
- App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan☆91Updated last year
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- notebooks, quizes, exams and labs for nyu psychology lab courses☆19Updated 10 months ago
- Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.☆73Updated 2 years ago
- Sparse Positive Object Similarity Embedding(s)☆18Updated 2 years ago
- ☆26Updated 4 years ago
- RWebPPL, an R interface to Webppl http://webppl.org☆22Updated last year
- Resource Guide for learning how to simulate and model Reinforcement Learning☆32Updated 5 years ago
- Neuroproc dataset descriptions and dictionaries☆16Updated 8 years ago
- Collection of my implementations of computational models of cognition☆11Updated last year
- A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…☆16Updated 5 years ago
- Code for a seminar talk at University of Leicester, UK☆26Updated 4 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 7 years ago
- Homegrown analysis of Prospect Theory: Math, turkers and python =)☆33Updated 10 years ago
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆94Updated last year
- Experimentology textbook☆58Updated 5 months ago
- ☆34Updated 3 years ago
- Source code for https://meta-meta-resources.org☆20Updated 2 years ago
- Bayesian Bandits☆68Updated 2 years ago
- Computational Modelling in Neuroscience☆18Updated 9 years ago
- Materials for webppl tutorial☆54Updated 4 years ago
- Hypothesis and statistical testing in Python☆66Updated 5 years ago