Meysam Hashemi's repositories

Epileptor2D

EpileptorParameterInference

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Inference_MFM

Inference on a mean-field model of spiking neurons

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PPCA

Probabilistic PCA

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BVEP

The Bayesian Virtual Epileptic Patient: a probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread

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stan

Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

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abcpy

ABCpy package

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awesome-neural-sbi

Community-sourced list of papers and resources on neural simulation-based inference.

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BAP

Bayesian Analysis with Python (Second Edition)

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bayescogsci

Draft of book entitled An Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth

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BayesFlow

A Python library for amortized Bayesian workflows using generative neural networks.

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Bayesian_Optimization

Bayesian Optimization to find the global min/max of a black box function.

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BayesianOptimization

A Python implementation of global optimization with gaussian processes.

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botorch

Bayesian optimization in PyTorch

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dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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dynamax

State Space Models library in JAX

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flowMC

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

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GPflow

Gaussian processes in TensorFlow

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neurolib

Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿‍🔬

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normalizing-flows

PyTorch implementation of normalizing flow models

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PCNtoolkit

Toolbox for normative modelling and spatial inference of neuroimaging data. https://pcntoolkit.readthedocs.io/en/latest/

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personalwebpage

This is my webpage.

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pysindy

A package for the sparse identification of nonlinear dynamical systems from data

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pytorch-Deep-Learning

Deep Learning (with PyTorch)

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scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

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SourceEstimation

SEEG Source Localization

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uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

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