mr-ubik

{
  "citation": "@misc{1704.03477,\nAuthor = {David Ha and Douglas Eck},\nTitle = {A Neural Representation of Sketch Drawings},\nYear = {2017},\nEprint = {arXiv:1704.03477},\n}\n",
  "description": "In this dataset, 75K samples (70K Training, 2.5K Validation, 2.5K Test) has been randomly selected from each category, processed with RDP line simplification with an epsilon parameter of 2.0. Each category will be stored in its own .npz file, for example, cat.npz.",
  "location": {
    "urls": [
      "https://github.com/googlecreativelab/quickdraw-dataset"
    ]
  },
  "name": "quickdraw_sketch_rnn",
  "schema": {

mr-ubik

session_name: PROJECT
environment:
    SPHINX_HOST: "0.0.0.0"
    SPHINX_PORT: "8000"
windows:
    - window_name: "Sphinx"
      layout: "main-vertical"
      start_directory: "${PWD}"
      focus: true
      panes:

mr-ubik

{"lastUpload":"2021-10-21T17:36:23.350Z","extensionVersion":"v3.4.3"}

mr-ubik

{"lastUpload":"2018-09-24T10:37:12.753Z","extensionVersion":"v3.1.2"}

mr-ubik

# Python
repos:
-   repo: https://github.com/asottile/seed-isort-config
    rev: v1.2.0
    hooks:
    -   id: seed-isort-config
-   repo: https://github.com/pre-commit/mirrors-isort
    rev: v4.3.4
    hooks:
    -   id: isort

mr-ubik

with beam.Pipeline(argv=pipeline_args) as p:

    from apache_beam.io.gcp.internal.clients import bigquery  # pylint: disable=wrong-import-order, wrong-import-position

    table_schema = bigquery.TableSchema()

    # Fields that use standard types.
    alpha_schema = bigquery.TableFieldSchema()
    alpha_schema.name = 'alpha'
    alpha_schema.type = 'string'