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academic-keyword-occurrence

Extracts the historic word occurrence of a search term in academic papers

arxiv-public-datasets

A set of scripts to grab public datasets from resources related to arXiv

autoreject

Automated rejection and repair of bad trials/sensors in M/EEG

bbci_public

MATLAB toolbox for Brain-Computer Interfacing (BCI)

bgnetwork

Basal Ganglia - Parkinson's Disease Model

braindecode

A deep learning toolbox to decode raw time-domain EEG.

covariancetoolbox

Covariance toolbox for matlab, including riemannian geometry

dal

Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning

emokit

Open source driver for accessing raw data from the Emotiv EPOC EEG headset

fanova

Functional ANOVA

flask-starter

Flask-Starter is a boilerplate starter template designed to help you quickstart your Flask web application development.

inverted_pendulum

Inverted Pendulum Simulation in Python

jscastanoc.github.io

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

machine-learning-for-algorithmic-trading-second-edition_original

Machine Learning for Algorithmic Trading, Second Edition - published by Packt

matlab_spoc

Matlab code for SSD, SPoC, mSPoC, and cSPoC

ml-papers-explained

Explanation to key concepts in ML

mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

moabb

Mother of All BCI Benchmarks

neuroip

Matlab Toolbox to solve the EEG inverse problem.

paper_stups_decoding_spoc

portfoliosimulator

Market/Portfolio Simulator

pyff

Pythonic Feedback Framework

qsforex

QuantStart Forex Backtesting and Live Trading

qstk

Quant Software Tool Kit

quantsoftwaretoolkit

QuantSoftwareToolkit

rlagents-flappybird

This repo contains several reinforcement learning agents used to solve an adapted version of the FlappyBird environment by Pygame Learning Environment (PLE). FlappyBird is adapted to have non-stationary dynamics and a noisy reward.

statannot

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

stout

Implementation of STOUT. Based in the FISTA implementation found in https://github.com/mne-tools/mne-python