Hiroya Kato Hirosaji

## NYPD_Complaint_Data_Current_YTD_July_2018.ipynb

      
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                Hirosaji
                / NYPD_Complaint_Data_Current_YTD_July_2018.ipynb
            
            
              Created
              July 22, 2020 15:13
            
              
                Visualize dataset includes crimes reported to the New York City Police Department.
              
          
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## .block
Google Earth Engine × Mapbox - Reduction in NO2 by COVID-9

license: mit

## gist:2a94283486137c77d1cec48837d48737
Route object
└── Route leg object
    ├── Banner instruction object
    └── Route step object
        └── Step maneuver object
            └── Voice instruction object

## .block
Mapbox - storytelling demo

license: mit

## .block
# Mapbox GL JS - Simple Map

license: mit

## .block
Mapbox - helper.html in Storytelling

license: mit

## .block
# Leaflet.js × D3.js × geojson-vt.js - Redraw Canvas Tiles Map

license: mit

## .block
# Leaflet.js × D3.js × geojson-vt.js - Clickeble Canvas Tiles Map

license: mit


## modeling.py
BERT_PRAMS = {
    'vocab_file': '/efs/sp/vocab.txt',
    'bert_config_file': '/efs/config.json',
    'init_checkpoint': '/efs/model/bert_model.ckpt',
    ...
}

## application.py
class convert_to_simlarity:
    def __init__(self):
        self.output = {"target": None, "texts": None}

    def from_texts(self, target, texts):
        self.output["target"] = target
        self.output["texts"] = texts
        self.output["sims"] = self.texts2similarity()

        return self.output
	Google Earth Engine × Mapbox - Reduction in NO2 by COVID-9

	license: mit
	Route object
	└── Route leg object
	├── Banner instruction object
	└── Route step object
	└── Step maneuver object
	└── Voice instruction object
	# Leaflet.js × D3.js × geojson-vt.js - Redraw Canvas Tiles Map

	license: mit
	# Leaflet.js × D3.js × geojson-vt.js - Clickeble Canvas Tiles Map

	license: mit
	BERT_PRAMS = {
	'vocab_file': '/efs/sp/vocab.txt',
	'bert_config_file': '/efs/config.json',
	'init_checkpoint': '/efs/model/bert_model.ckpt',
	...
	}
	class convert_to_simlarity:
	def __init__(self):
	self.output = {"target": None, "texts": None}

	def from_texts(self, target, texts):
	self.output["target"] = target
	self.output["texts"] = texts
	self.output["sims"] = self.texts2similarity()

	return self.output