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| //using System; | |
| using System.Collections; | |
| using System.Collections.Generic; | |
| using System.Linq; | |
| using UnityEditor.SceneManagement; | |
| using UnityEngine; | |
| public class MeshGen : MonoBehaviour | |
| { | |
| int treeSpokes = -1; |
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| 0426fa3ce5ccce0b95043cb8509e7864ebfdd8183df2117d972bf872943ff4b1cd9926d45b23a259bb473905328e4aebb7feafa25b93d6de7ea125389c5b083f51 |
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| 0x4753468432a03381a4D305b34EAdbb517A1B0E14 |
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| 0xD1038e168ac7dB81D2A399cfDa687ef48603DC95 |
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| https://gist.github.com/anonymous/8bdd9af69d3eac6e9b932a958ec26d6f |
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| 0xD1038e168ac7dB81D2A399cfDa687ef48603DC95 |
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| { | |
| "system": { | |
| "facilityName": "Harvest" | |
| }, | |
| "universal": { | |
| "item1": 1 | |
| "item2": 2 | |
| "someArray": [ | |
| 1, | |
| 2, |
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| Deep Learning Vocab | |
| MLP | |
| Deep learning nugget of the day | |
| (wow pls come up with a better metaphor) | |
| Lots of these terms can be found by reviewing functions in the keras code, like this for activations for example: | |
| https://github.com/fchollet/keras/blob/master/keras/activations.py |
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| #!/usr/bin/env ruby | |
| module WDF | |
| class WFGet | |
| def self.current_quarter | |
| yr = Date.today.year | |
| if yr >=10 | |
| 4 | |
| elsif yr >= 7 |
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| require 'date' | |
| class WFGet | |
| def self.current_quarter | |
| yr = Date.today.year | |
| if yr >=10 | |
| 4 | |
| elsif yr >= 7 | |
| 3 | |
| elsif yr >= 4 |
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