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jiqiujia
/ notebook.ipynb
Last active
April 12, 2017 02:27
— forked from vmarkovtsev/notebook.ipynb
lapjv blog post/https://blog.sourced.tech/post/lapjv/
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jiqiujia
/ dcgan.py
Created
January 30, 2017 13:43
— forked from soumith/dcgan.py
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| import torch | |
| import torch.nn as nn | |
| import torch.nn.parallel | |
| class DCGAN_D(nn.Container): | |
| def __init__(self, isize, nz, nc, ndf, ngpu, n_extra_layers=0): | |
| super(DCGAN_D, self).__init__() | |
| self.ngpu = ngpu | |
| assert isize % 16 == 0, "isize has to be a multiple of 16" |
jiqiujia
/ learn.lua
Created
November 7, 2016 14:03
— forked from tylerneylon/learn.lua
Learn Lua quickly with this short yet comprehensive and friendly script. It's written as both an introduction and a quick reference. It's also a valid Lua script so you can verify that the code does what it says, and learn more by modifying and running this script in your Lua interpreter.
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| -- Two dashes start a one-line comment. | |
| --[[ | |
| Adding two ['s and ]'s makes it a | |
| multi-line comment. | |
| --]] | |
| ---------------------------------------------------- | |
| -- 1. Variables and flow control. | |
| ---------------------------------------------------- |
jiqiujia
/ pg-pong.py
Created
September 22, 2016 06:11
— forked from karpathy/pg-pong.py
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
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| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |
jiqiujia
/ min-char-rnn.py
Created
July 29, 2016 06:34
— forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
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| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |
jiqiujia
/ states_boundingbox.json
Created
July 15, 2014 06:32
— forked from Skarlit/states_boundingbox.json
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| { | |
| "Mississippi": [30.1477890014648, 34.9960556030273, -91.6550140380859, -88.0980072021484], | |
| "Oklahoma": [33.6191940307617, 37.0021362304688, -103.002571105957, -94.4312133789062], | |
| "Delaware": [38.4511260986328, 39.8394355773926, -75.7890472412109, -74.9846343994141], | |
| "Minnesota": [43.4994277954102, 49.3844909667969, -97.2392654418945, -89.4833831787109], | |
| "Illinois": [36.9701309204102, 42.5083045959473, -91.513053894043, -87.0199203491211], | |
| "Arkansas": [33.0041046142578, 36.4996032714844, -94.6178131103516, -89.6422424316406], | |
| "New Mexico": [31.3323001861572, 37.0001411437988, -109.050178527832, -103.000862121582], | |
| "Indiana": [37.7717399597168, 41.7613716125488, -88.0997085571289, -84.7845764160156], | |
| "Louisiana": [28.9210300445557, 33.019458770752, -94.0431518554688, -88.817008972168], |
jiqiujia
/ continental-usa-states-bb
Created
July 15, 2014 06:30
— forked from mishari/continental-usa-states-bb
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| [{"place_id":"97994878","licence":"Data \u00a9 OpenStreetMap contributors, ODbL 1.0. http:\/\/www.openstreetmap.org\/copyright","osm_type":"relation","osm_id":"161950","boundingbox":["30.1375217437744","35.0080299377441","-88.4731369018555","-84.8882446289062"],"lat":"33.2588817","lon":"-86.8295337","display_name":"Alabama, United States of America","place_rank":"8","category":"boundary","type":"administrative","importance":0.83507032450272,"icon":"http:\/\/nominatim.openstreetmap.org\/images\/mapicons\/poi_boundary_administrative.p.20.png"}] | |
| [{"place_id":"97421560","licence":"Data \u00a9 OpenStreetMap contributors, ODbL 1.0. http:\/\/www.openstreetmap.org\/copyright","osm_type":"relation","osm_id":"162018","boundingbox":["31.3321762084961","37.0042610168457","-114.818359375","-109.045196533203"],"lat":"34.395342","lon":"-111.7632755","display_name":"Arizona, United States of America","place_rank":"8","category":"boundary","type":"administrative","importance":0.83922181098242,"icon":"http:\/\/nominatim.openst |
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