Alternatives and similar repositories for choices13k

Users that are interested in choices13k are comparing it to the libraries listed below

• clbaker / BToM
  ☆33Updated 8 years ago
• markkho / msdm
  Models of Sequential Decision-Making
  ☆49Updated 5 months ago
• marcelbinz / GPT3goesPsychology
  ☆30Updated 3 years ago
• markkho / value-guided-construal
  Code and data for People construct simplified mental representations to plan
  ☆23Updated last year
• KennethEnevoldsen / tomsup
  tomsup 👍 Theory of Mind Simulation using Python. A package that allows for easy agent-based modelling of recursive Theory of Mind
  ☆68Updated last year
• cogtoolslab / compositional-abstractions
  ☆22Updated last year
• marcelbinz / Psych-201
  Largest, cross-domain data set of human behavior.
  ☆46Updated 3 weeks ago
• Zak-Hussain / LLM4BeSci
  Repo for the paper "A tutorial on open-source large language models for behavioral science"
  ☆28Updated 9 months ago
• julianje / Bishop
  Mental state inference from observable behavior
  ☆15Updated 3 years ago
• dimarkov / aibandits
  Active inference implementation of dynamic multi-armed bandits
  ☆19Updated this week
• cpilab / group-bayesian-model-comparison
  A Python implementation of the VBA_groupBMC function from the VBA-toolbox by Lionel Rigoux.
  ☆11Updated 2 years ago
• qihongl / learn-hippo
  Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife
  ☆41Updated 3 years ago
• sjgershm / exploration
  Code and data for the paper "Deconstructing the human algorithms for exploration"
  ☆15Updated 6 years ago
• CogComNeuroSci / modeling-master
  Public repository for the Introduction to modeling cognitive processes book.
  ☆41Updated 7 months ago
• ucbtns / dai
  🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment
  ☆34Updated 5 years ago
• charleywu / gridsearch
  Wu, C. M., Schulz, E., Speekenbrink, M., Nelson, J. D., & Meder, B. (2018). Generalization guides human exploration in vast decision spac…
  ☆23Updated 5 years ago
• infer-actively / pypc
  Predictive coding in Python
  ☆66Updated last year
• wkool / tradeoffs
  Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)
  ☆22Updated 7 years ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆26Updated 3 years ago
• brendenlake / CCM-site
  Computational Cognitive Modeling (Spring 2024)
  ☆36Updated last year
• juliancodaforno / CogBench
  ☆19Updated 11 months ago
• rmgeddert / Reinforcement-Learning-Resource-Guide
  Resource Guide for learning how to simulate and model Reinforcement Learning
  ☆31Updated 4 years ago
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago
• sjgershm / RL-tutorial
  Reinforcement learning tutorial
  ☆24Updated 7 years ago
• BKHMSI / Meta-RL-TwoStep-Task
  PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …
  ☆35Updated 4 years ago
• schwartenbeckph / CPC_ActiveInference2018
  Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018
  ☆32Updated 5 years ago
• marcelomattar / PrioritizedReplay
  Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…
  ☆29Updated 7 years ago
• payampiray / VKF
  ☆16Updated 5 years ago
• carolfs / muddled_models
  Code and data for Feher da Silva, C., Hare, T.A. Humans primarily use model-based inference in the two-stage task. Nat Hum Behav (2020). …
  ☆11Updated last year
• MicroSTM / PHASE
  Code for procedurally synthesizing PHASE animations
  ☆16Updated 3 years ago