Asynchro-Epool

Asynchro-Epool's repositories

Reference (bibliography) text to dois

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My blog

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some usefull functions for HDDM(hierarchical drift diffusion model)

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Transform the base64 code in markdown of Obsidian to png file.

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介绍如何使用 CORE 的 API 访问文献公开数据，以及下载文献 pdf

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A docker image for running HDDM with parallel processing in jupyter notebook.

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A guide for using docker images of HDDM

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HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

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Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.

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to be convenient to open Web and process

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RKF78,RKF,DE,MCMC,DE-MCMC,exoplanet,transit,time

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THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:

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Python Package which collects simulators for Sequential Sampling Models

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