Pinned Repositories
alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM
coffeemasters-vanilla
configs
eco-int
EEG-MVPA-tutorial
fs-open
georgopoulos1986
Georgopoulos et al., Neuronal population coding of movement direction (1986)
GLMdenoise
GLMsingle
A toolbox for accurate single-trial estimates in fMRI time-series data
marek1n's Repositories
marek1n/georgopoulos1986
Georgopoulos et al., Neuronal population coding of movement direction (1986)
marek1n/alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM
marek1n/coffeemasters-vanilla
marek1n/configs
marek1n/eco-int
marek1n/EEG-MVPA-tutorial
marek1n/fs-open
marek1n/GLMdenoise
marek1n/GLMsingle
A toolbox for accurate single-trial estimates in fMRI time-series data
marek1n/interpret
Fit interpretable models. Explain blackbox machine learning.
marek1n/ISLR-tidymodels-labs
marek1n/MACS
MACS – a new SPM toolbox for model assessment, comparison and selection
marek1n/marek1n.github.io
marek1n/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
marek1n/mooney-pilot
marek1n/mriqc-template
marek1n/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
marek1n/PredictiveCodingBackprop
Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
marek1n/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
marek1n/py-things
marek1n/pymdp
A Python implementation of active inference for Markov Decision Processes
marek1n/pyslicetime
kendrick's slicetime ported to python
marek1n/python-mastery
Advanced Python Mastery (course by @dabeaz)
marek1n/rc-fair23
marek1n/ReinforcementLearningAnIntroduction.jl
Julia code for the book Reinforcement Learning An Introduction
marek1n/rl-sim
marek1n/stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
marek1n/statistical-rethinking-2023
Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.
marek1n/swift-coreml-diffusers
Swift app demonstrating Core ML Stable Diffusion
marek1n/vividness