Pinned Repositories
alphalens
Performance analysis of predictive (alpha) stock factors
bads
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
bhv2py
Read bhv files from behavioural software MonkeyLogic in Python
exam
exam2
Materials for second semester exams
LDA-Gibbs-Sampling
a python implementation of latent dirichlet allocation(lda) using gibbs sampling algorithm
NailMonkey
Project Atlas on Original Monkey Structural MRI Images
neuronaldynamics-epfl
Some neuronal dynamics of EPFL discussion
pyperplot
Figures management while writing papers
UncertaintyHuman
Value-based uncertainty estimation model
disadone's Repositories
disadone/neuronaldynamics-epfl
Some neuronal dynamics of EPFL discussion
disadone/LDA-Gibbs-Sampling
a python implementation of latent dirichlet allocation(lda) using gibbs sampling algorithm
disadone/exam2
Materials for second semester exams
disadone/exam
disadone/pyperplot
Figures management while writing papers
disadone/NailMonkey
Project Atlas on Original Monkey Structural MRI Images
disadone/alphalens
Performance analysis of predictive (alpha) stock factors
disadone/bads
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
disadone/bhv2py
Read bhv files from behavioural software MonkeyLogic in Python
disadone/coursera-unix
disadone/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
disadone/UncertaintyHuman
Value-based uncertainty estimation model
disadone/dartbrains
This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught by Prof Luke Chang, PhD.
disadone/datastructure_yanweimin
严蔚敏数据结构c语言版本可运行源码、完全c语言代码实现
disadone/DivisiveNormModel2020
disadone/GLMspiketraintutorial
Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data
disadone/Integration
Python implementation of five basic numerical integration methods
disadone/Mante2013RNN
disadone/MultiAlternativeDecisions
Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.
disadone/my-first-repo
disadone/Optimal-policy-for-value-based-decision-making
These are the codes related to the following publication: Tajima, S., Drugowitsch, J., and Pouget, A. Optimal policy for value-based decision-making. Nature Communications, 7:12400, (2016).
disadone/PBupsModel.jl
disadone/ProxyPool
Proxy Pool
disadone/PyDDM
A drift-diffusion modeling (DDM) framework for Python3
disadone/quantile-regression-tensorflow
Tensorflow implementation of deep quantile regression
disadone/scrapy-stats
Scrapy项目，抓取国家统计局区划代码，并用D3.js可视化
disadone/SimuFit
A package intended to fit models using simulation methods
disadone/Some-Discussions
Discussions start from 2019-4-8
disadone/teaching
Course Material
disadone/Waskom_JVision_2018
Code and data from Waskom, Asfour, and Kiani (2018) J Vision