Ian-Re's starred repositories
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
llvm-xtensa
This repository is archived. See https://github.com/espressif/llvm-project instead.
flask-socketio-celery-example
Example based on Miguel Grinberg's flask-celery-example but using Flask-SocketIO
pymc-resources
PyMC educational resources
Diamond
Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.
Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
project-based-learning
Curated list of project-based tutorials
statrethinking_winter2019
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
STM32-O-Scope
STM32F103 based minimalist oscilloscope.
dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
platform-espressif32
Espressif 32: development platform for PlatformIO
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
python-cheatsheet
Comprehensive Python Cheatsheet
micropython
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
mcubed-web
M-Cubed Website