Martin Sotir martinsotir

Outlier 2021 notes (WIP)

All presentations are available in the Data Visualization Society Youtube channel.

Julie Brunet - My statistic enemy, or why difficulties make better datavisualisation

https://www.youtube.com/watch?v=0RONImrGtZE :

Hydra configuration loader for Kedro

⚠️ 2021-03-07: WIP / Unmaintained. This project is a proof of concept, not recommend for general use.

Tested with Kedro 0.17.1 and Hydra 1.0.6.

Author: Martin Sotir

IEEE VIS 2020

https://virtual.ieeevis.org/ [video]

Notes

Jupytercon 2020

Day 1

Datasette: Simple tabular data cataloging et sharing tool, with extensible data exploration and wrangling UI.
QRI: Slithly similar to Datasette, with versioning and a cloud offering.
❤️ ipyannotator: Extensible annotation tool based on Jupyter widgets.
ipython-sql and jupyterlab-sql Ipython magic for SQL.

High level deep learning framework list

_{Updated: 2020-12-04}

All in one frameworks / boilerplate libraries:All in one frameworks / boilerplate libraries:

Framework	Github Stars	Contributors	Commit frequency
[PyTorch Ignite](http

Pytorch Model Parameters in plotly TreeMap

Requirement: plotly, pandas and pytorch

import pandas as pd
import plotly.express as px

def plot_weights_treemap(model, max_levels=10):
    """Display pytorch module hierchachy in a treemap diagram

AI, Machine Learning and Data Science Podcasts

Last updated: 2020-08-10

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Talking Machines

Google AI Platform Notebook tips

AI Notebooks vs Colab

Google Colab: https://colab.research.google.com/

Free compute! and interesting, fixed cost, 10$/month Google Colab Pro version.
Notebooks are very easy to share, with ability to control permissions (integration in google drive/doc ecosystem).
Instant availability. No requirement other than a regular google account.
Idle time limit : 1h in free version.

	"""
	2 helper classes that can load Google Chrome Heap Snapshots files.
	Both implementations are experimentals, only tested on one example.
	"""

	import collections
	import json
	from typing import Dict, Any

	import numpy as np

	def _is_host_openstack():
	product_name = Path("/sys/devices/virtual/dmi/id/product_name")
	return product_name.exists() and "OpenStack" in product_name.read_text()