Alexandre Hideki Okano's repositories
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-public-datasets
A topic-centric list of HQ open datasets.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
BeginR
R repository for materials to introduce concepts in R
cs-video-courses
List of Computer Science courses with video lectures.
fucking-awesome-python
awesome-python with :octocat: :star: and :fork_and_knife:
GX_tES_EEG_Physio_Behavior
Supporting code for the GX Dataset
learn-python
š Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
mastodon_digest
A Python script that aggregates recent popular posts from your Mastodon timeline
Mathematics-for-ML
š§® A collection of resources to learn mathematics for machine learning
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
mlfz
An educational machine learning library.
ModelingNeuralCircuits
PDF and Code to accompany the textbook "Modeling Neural Circuits Made Simple"
Neural-Signal-Processing-Analysis
Python Implementation of the Matlab Problem Sets from MX Cohen's Neural Signal Processing Course
obsidian-charts
Charts - Obsidian Plugin | Create editable, interactive and animated Charts in Obsidian via Chart.js
performance
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
project-based-learning
Curated list of project-based tutorials
Python
All Algorithms implemented in Python
python-guide
Python best practices guidebook, written for humans.
Python-programming-exercises
100+ Python challenging programming exercises
PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
raincloudplots-workshops
raincloudplots workshops
RCrashCourse_Book
A GitBook version of the R Crash Course self-tutorials: https://colauttilab.github.io/RCrashCourse
stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023