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View loans1.txt
amount,duration,rate,down_payment
10000,36,0.08,20000
200000,12,0.1,
628400,120,0.12,100000
4637400,240,0.06,
42900,90,0.07,8900
916000,16,0.13,
45230,48,0.08,4300
991360,99,0.08,
423000,27,0.09,47200
View infer_file.py
#!/usr/bin/env python3
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
"""
Run inference for pre-processed data with a trained model.
"""
View cifar10-superconvergence.ipynb
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View learner.py
from fastai.conv_learner import ConvLearner, num_cpus, accuracy
def get_learner(arch, bs):
"""Create a FastAI learner using the given model"""
data = get_data(bs, num_cpus())
learn = ConvLearner.from_model_data(arch.cuda(), data)
learn.crit = nn.CrossEntropyLoss()
learn.metrics = [accuracy]
return learn
View basic_block.py
import torch.nn as nn
import torch.nn.functional as F
def conv_2d(ni, nf, stride=1, ks=3):
return nn.Conv2d(in_channels=ni, out_channels=nf,
kernel_size=ks, stride=stride,
padding=ks//2, bias=False)
def bn_relu_conv(ni, nf):
return nn.Sequential(nn.BatchNorm2d(ni),
View Structured Classification Test.ipynb
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View AsyncSettingsPage.js
import Loadable from "react-loadable";
import Loading from "./Loading";
const AsyncSettingsPage = Loadable({
loader: () => import("./SettingsPage"),
loading: Loading
});
export { AsyncSettingsPage };
View downloader.py
#!/usr/bin/python
# Note to Kagglers: This script will not run directly in Kaggle kernels. You
# need to download it and run it on your local machine.
# Downloads images from the Google Landmarks dataset using multiple threads.
# Images that already exist will not be downloaded again, so the script can
# resume a partially completed download. All images will be saved in the JPG
# format with 90% compression quality.
@aakashns
aakashns / proc_df_test.ipynb
Last active Mar 7, 2018
Test cases for enhanced proc_df
View proc_df_test.ipynb
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View contactForm.js
// Selectors for specific fields
const getName = data => data.name;
const getAddress = data => data.address;
const getSubscribeToNewsLetter = data => data.subscribeToNewsLetter;
// Action creators for specific fields
const setName = name => editContactForm({ name });
const setAddress = address => editContactForm({ address });
const setSubscribeToNewsletter = v =>
editContactForm({ subscribeToNewsLetter: v });
You can’t perform that action at this time.