jiqiujia’s gists

jiqiujia / continental-usa-states-bb

Created July 15, 2014 06:30 — forked from mishari/continental-usa-states-bb

[{"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

jiqiujia / states_boundingbox.json

Created July 15, 2014 06:32 — forked from Skarlit/states_boundingbox.json

	{
	"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 / 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

	"""
	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 / 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

	""" 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 / 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.

	-- Two dashes start a one-line comment.

	--[[
	Adding two ['s and ]'s makes it a
	multi-line comment.
	--]]

	----------------------------------------------------
	-- 1. Variables and flow control.
	----------------------------------------------------

jiqiujia / dcgan.py

Created January 30, 2017 13:43 — forked from soumith/dcgan.py

	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 / 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 / elastic_transform.py

Created May 24, 2017 03:06 — forked from chsasank/elastic_transform.py

Elastic transformation of an image in Python

	import numpy as np
	from scipy.ndimage.interpolation import map_coordinates
	from scipy.ndimage.filters import gaussian_filter

	def elastic_transform(image, alpha, sigma, random_state=None):
	"""Elastic deformation of images as described in [Simard2003]_.


	.. [Simard2003] Simard, Steinkraus and Platt, "Best Practices for
	Convolutional Neural Networks applied to Visual Document Analysis", in

jiqiujia / shape_index.py

Created November 2, 2017 12:11 — forked from davecg/shape_index.py

Calculate 3D shape index using PyTorch

	import numpy as np
	import matplotlib.pyplot as plt
	import torch
	import torch.nn as nn
	import torch.optim as optim
	import torch.nn.functional as F
	from torch.autograd import Variable
	import torchvision
	import torchvision.transforms as transforms
	import numpy as np

jiqiujia / data_loader.py

Created January 21, 2018 06:07 — forked from kevinzakka/data_loader.py

Train, Validation and Test Split for torchvision Datasets

	# This is an example for the CIFAR-10 dataset.
	# There's a function for creating a train and validation iterator.
	# There's also a function for creating a test iterator.
	# Inspired by https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4

	from utils import plot_images

	def get_train_valid_loader(data_dir,
	batch_size,
	augment,

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