Kai Strempel kstrempel

## gist:4948351cfe439b93f81c4d1205f675cd
//DEPS io.cloudevents:cloudevents-api:1.3.0

import io.cloudevents.CloudEvent;
import io.cloudevents.v02.CloudEventBuilder;
import io.cloudevents.v1.CloudEventImpl;
import io.cloudevents.json.Json;
import com.fasterxml.jackson.core.type.TypeReference;
import java.net.URI;

class CloudEventTest {

## gist:3b2f707c2f9019e55f4721b3a80cfbf2
(ns pyclojure.core
  (:gen-class)
  (:require [libpython-clj.require :refer [require-python]]
            [libpython-clj.python :as py]))

; import gym
; env = gym.make('CartPole-v0')
; for i_episode in range(20):
;     observation = env.reset()
;     for t in range(100):

## create_disjunct_areas.ipynb

      
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## circles_to_donuts.ipynb

      
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                / circles_to_donuts.ipynb
            
            
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              June 24, 2018 15:53
            
          
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## CirclesUnionMultipolygon.ipynb

      
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                / CirclesUnionMultipolygon.ipynb
            
            
              Created
              June 22, 2018 14:01
            
          
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## Shapely Experiments.ipynb

      
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                / Shapely Experiments.ipynb
            
            
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              June 22, 2018 13:29
            
          
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## Simple Keras XOR
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import SGD

X = [[0.0, 0.0],
     [0.0, 1.0],
     [1.0, 0.0],
     [0.0, 0.0]]

Y = [[0.0],

## keybase.md

      
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                kstrempel
                / keybase.md
            
            
              Created
              July 19, 2015 15:57
            
          
    Keybase proof

I hereby claim:

I am kstrempel on github.
I am kstrempel (https://keybase.io/kstrempel) on keybase.
I have a public key whose fingerprint is 62A4 7764 56C9 5F8B A862  B806 619E D378 2536 022A

To claim this, I am signing this object:
	//DEPS io.cloudevents:cloudevents-api:1.3.0

	import io.cloudevents.CloudEvent;
	import io.cloudevents.v02.CloudEventBuilder;
	import io.cloudevents.v1.CloudEventImpl;
	import io.cloudevents.json.Json;
	import com.fasterxml.jackson.core.type.TypeReference;
	import java.net.URI;

	class CloudEventTest {
	(ns pyclojure.core
	(:gen-class)
	(:require [libpython-clj.require :refer [require-python]]
	[libpython-clj.python :as py]))

	; import gym
	; env = gym.make('CartPole-v0')
	; for i_episode in range(20):
	; observation = env.reset()
	; for t in range(100):
	from keras.models import Sequential
	from keras.layers import Dense
	from keras.optimizers import SGD

	X = [[0.0, 0.0],
	[0.0, 1.0],
	[1.0, 0.0],
	[0.0, 0.0]]

	Y = [[0.0],