Maciej Kos's repositories
Fritzing-Library
Adafruit parts, components, breakouts, etc...in Fritzable format!
tidypolars
Tidy interface to polars
dactyl-keyboard
Dactyl-ManuForm, a parameterized ergonomic keyboard translated into Python including a cadquery / Open CASCADE implementation.
12-design
Ten Quick Software Design Tips for Data Scientists
parsl-tutorial
Tutorials to demonstrate the use of Parsl
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pint-pandas
Pandas support for pint
ModSimPy
Text and supporting code for Modeling and Simulation in Python
awesome-quantified-self
:bar_chart: Websites, Resources, Devices, Wearables, Applications, and Platforms for Self Tracking
pathpy
An OpenSource python package for the analysis of time series data on networks using higher-order and multi-order graphical models.
SISMID_MCMC_I
Teaching materials for MCMC I module in the Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID)
sbied
Simulation-based Inference for Epidemiological Dynamics
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
safegraph_demo_profile
This is a python module of helper functions for performing analysis on SafeGraph data
learn_go_ghc
Material for the "Let's Learn Go" Workshop
adele
Adele - Design Systems Repository
udacity-course
Build native mobile apps with Flutter
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛
sgfin.github.io
Academic blog with markdown stolen from Sam Greydanus who stole it from Andrej Karpathy...
TogglPy
TogglPy is a non-cluttered, easily understood and implemented python library for interacting with the Toggl API.
deep-learning-walkthrough
Slides showing a walkthrough of the tutorial by kozyrkov and bkungfoo available at github.com/google-aai/sc17.
introtodeeplearning_labs
Lab Materials for MIT 6.S191: Introduction to Deep Learning
sc17
SuperComputing 2017 Deep Learning Tutorial