Positions:
Some interesting projects we’re working on or have been working on in recent past:
| import logging | |
| import numpy as np | |
| from .base import Attack | |
| from .base import call_decorator | |
| class CarliniWagnerAttack(Attack): | |
| """Implements Carlini & Wagner attack introduced in [1]_. |
| bveliqi@cantor:~$ nvidia-docker run -it spmohanty/repo2docker-test:v0.1 /home/crowdai/run.sh | |
| v0.1: Pulling from spmohanty/repo2docker-test | |
| 297061f60c36: Already exists | |
| e9ccef17b516: Already exists | |
| dbc33716854d: Already exists | |
| 8fe36b178d25: Already exists | |
| 686596545a94: Already exists | |
| aa76f513fc89: Already exists | |
| c92f47f1bcde: Already exists | |
| 172daef71cc3: Already exists |
| 2018-05-11 09:44:39,742 Reading data... | |
| 2018-05-11 09:45:03,771 Loaded: /root/data/tiny-imagenet-200/train | |
| 2018-05-11 09:45:03,772 -- EPOCH: 0 | |
| 2018-05-11 09:45:04,114 -- ITERATION: 0 | |
| 2018-05-11 09:45:04,285 -------------------------------------- | |
| 2018-05-11 09:45:04,285 Name is: conv1.weight | |
| 2018-05-11 09:45:04,286 Data is: min: -0.10880786925554276, max: 0.09884308278560638 | |
| 2018-05-11 09:45:04,286 Grad is: min: -7.468867778778076, max: 11.536825180053711 | |
| 2018-05-11 09:45:04,287 Target is: min: 0, max: 0 | |
| 2018-05-11 09:45:04,287 -------------------------------------- |
| 2018-05-11 09:17:05,033 Reading data... | |
| 2018-05-11 09:17:28,652 Loaded: /root/data/tiny-imagenet-200/train | |
| 2018-05-11 09:17:28,654 -- EPOCH: 0 | |
| 2018-05-11 09:17:28,765 -- ITERATION: 0 | |
| 2018-05-11 09:17:28,918 -- RUNNING_LOSS: 4.8924174308776855 | |
| 2018-05-11 09:17:28,919 -- ITERATION: 1 | |
| 2018-05-11 09:17:29,045 -- RUNNING_LOSS: 4.160899639129639 | |
| 2018-05-11 09:17:29,045 -- ITERATION: 2 | |
| 2018-05-11 09:17:29,139 -- RUNNING_LOSS: 3.475633382797241 | |
| 2018-05-11 09:17:29,140 -- ITERATION: 3 |
| import torch | |
| import torchvision.datasets as datasets | |
| import torch.utils.data as data | |
| import torchvision.transforms as transforms | |
| from logger import logger | |
| from torch.autograd import Variable |
| import torch | |
| import torch.nn as nn | |
| import torch.optim as optim | |
| import torchvision.datasets as datasets | |
| import torch.utils.data as data | |
| import torchvision.transforms as transforms | |
| from torch.autograd import Variable |
| 2018-05-08 19:24:49,208 Loading stored model ... | |
| 2018-05-08 19:24:59,635 Loaded model successfully. | |
| 2018-05-08 19:24:59,636 Reading data... | |
| 2018-05-08 19:24:59,895 Loaded: data/tiny-imagenet-200/val | |
| 2018-05-08 19:25:03,391 Progress --- total: 32, correct: tensor(0) | |
| 2018-05-08 19:25:06,223 Progress --- total: 64, correct: tensor(0) | |
| 2018-05-08 19:25:10,502 Progress --- total: 96, correct: tensor(0) | |
| 2018-05-08 19:25:13,293 Progress --- total: 128, correct: tensor(0) | |
| 2018-05-08 19:25:17,379 Progress --- total: 160, correct: tensor(0) | |
| 2018-05-08 19:25:21,654 Progress --- total: 192, correct: tensor(0) |
| # E.g. TaskClass = CaseClass('name', 'owner', 'pid') | |
| # task1 = TaskClass(name = "hello", owner = "brian", pid = 15) | |
| # task2 = TaskClass(name = "world", owner = "brian", pid = 13) | |
| # tasks = [task1, task2] | |
| # | |
| # filter(lambda task: task.where(owner = "brian"), tasks) => [task1, task2] | |
| # filter(lambda task: task.where(owner = "brian", pid = 13), tasks) => [task2] | |
| # | |
| # matcher = TaskClass(pid = 13) | |
| # filter(lambda task: task.match(matcher), tasks) => [task2] |
| { | |
| "name": "twitter-data-collector", | |
| "version": "0.0.1", | |
| "description": "a software to collect data from twitter", | |
| "main": "index.js", | |
| "bin": "./build/bundle.js", | |
| "license": "MIT", | |
| "scripts": { | |
| "build": "npm run clean:build && npm run build:webpack && pkg ./build/bundle.js -t node8-linux-x64 -o build/twitter --debug", | |
| "build:webpack": "webpack --config webpack.config.js --output-filename build/bundle.js", |
