AHMED ELADLY (ahmeddeladly)

ahmeddeladly

Geek Repo

Company:UCLA

Location:California, USA

Home Page:https://ahmeddeladly.github.io

Twitter:@BayesianBeast

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AHMED ELADLY's repositories

BG_selectivity

Experiments on a computational model of the basal ganglia.

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Bayesian_Statistical_Modeling_with_Stan_R_and_Python

Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.

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BioImageAnalysisNotebooks

Python Jupyter notebooks for BioImageAnalysis, GPU-accelerated image processing, bio-image data science and more

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CAMBAM_Workshop_Neuron_Excitability

Jupyter Notebooks for 2023 CAMBAM Workshop on Neuronal Excitability

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Causal-Inference-and-Discovery-in-Python

Causal Inference and Discovery in Python by Packt Publishing

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causalimpact

Python port of CausalImpact R library

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causallib

A Python package for modular causal inference analysis and model evaluations

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CBE30338

Chemical Process Control

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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.

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DataSciPy2022

Neural Data Science with Python course material

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deeptime

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

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dynamax

State Space Models library in JAX

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EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) isalgorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

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emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

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GRAPL

GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference

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hmm-lds-em-algorithm

Estimate Hidden Markov Models (HMM) and Linear Dynamical Systems (LDS)

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ModelingNeuralCircuits

PDF and Code to accompany the textbook "Modeling Neural Circuits Made Simple"

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NeuralDataSciPy2023

All information of the Neural Data Science with Python course of the Neuroscience Master program at Université Paris Cité.

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neuronaldynamics-exercises

Python exercises accompanying the book "Neuronal Dynamics"

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pykalman

Kalman Filter, Smoother, and EM Algorithm for Python

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pymc-resources

PyMC educational resources

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pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

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relataly-public-python-tutorials

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

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rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

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sysidentpy

A Python Package For System Identification Using NARMAX Models

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