Artickas

Artickas's Stars

• HankSheehan/EloPy

  A python library for the Elo Rating System

  Language:Python4616

• jupyter/notebook

  Jupyter Interactive Notebook

  Language:Jupyter Notebook11.6k4.9k

• suraggupta/coursera-machine-learning-solutions-python

  A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera

  Language:Jupyter Notebook278148

• k-sys/covid-19

  A collection of work related to COVID-19

  Language:Jupyter Notebook1.4k432

• smart-data-models/SmartCities

  Data models related to the Smart Cities Domain. Includes data models for Buildings, Parking, Urban Mobility & etc.

  9523

• smart-data-models/data-models

  Data Models in common use based on real world use-cases. These definitions underpin a digital market of interoperable and replicable smart solutions.

  Language:Python11256

• kozyrkov/deep-learning-walkthrough

  Slides showing a walkthrough of the tutorial by kozyrkov and bkungfoo available at github.com/google-aai/sc17.

  9821

• scikit-optimize/scikit-optimize

  Sequential model-based optimization with a `scipy.optimize` interface

  Language:Python2.7k547

• danielegrattarola/spektral

  Graph Neural Networks with Keras and Tensorflow 2.

  Language:Python2.4k334

• nicocopez/Classical-Least-Squares-Method-for-Quantitative-Spectral-Analysis

  Classical Least Squares method implementation with Python. Application example on Quantitative Spectral Analysis: Calculating spectral similarity scores or how to find the concentration of pure substances in unknown mixtures. See my Medium post about it in https://towardsdatascience.com/classical-least-squares-method-for-quantitative-spectral-analysis-with-python-1926473a802c

  Language:Jupyter Notebook148