AHMED ELADLY's repositories
BG_selectivity
Experiments on a computational model of the basal ganglia.
Bayesian_Statistical_Modeling_with_Stan_R_and_Python
Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
BioImageAnalysisNotebooks
Python Jupyter notebooks for BioImageAnalysis, GPU-accelerated image processing, bio-image data science and more
CAMBAM_Workshop_Neuron_Excitability
Jupyter Notebooks for 2023 CAMBAM Workshop on Neuronal Excitability
Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
causalimpact
Python port of CausalImpact R library
causallib
A Python package for modular causal inference analysis and model evaluations
CBE30338
Chemical Process Control
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.
DataSciPy2022
Neural Data Science with Python course material
deeptime
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
dynamax
State Space Models library in JAX
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.
emcee
The Python ensemble sampling toolkit for affine-invariant MCMC
GRAPL
GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
hmm-lds-em-algorithm
Estimate Hidden Markov Models (HMM) and Linear Dynamical Systems (LDS)
ModelingNeuralCircuits
PDF and Code to accompany the textbook "Modeling Neural Circuits Made Simple"
NeuralDataSciPy2023
All information of the Neural Data Science with Python course of the Neuroscience Master program at Université Paris Cité.
neuronaldynamics-exercises
Python exercises accompanying the book "Neuronal Dynamics"
pykalman
Kalman Filter, Smoother, and EM Algorithm for Python
pymc-resources
PyMC educational resources
pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
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.
rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
sysidentpy
A Python Package For System Identification Using NARMAX Models