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• TensorFlow version (you are using): 1.15
• Are you willing to contribute it (Yes/No): No

Maintainer(s): @pgoodjohn

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I will make a PR soon. I'm working on https://github.com/mingrammer/system-design-primer

There are some interesting algorithms in simulation from Physics, Chemistry, and Engineering especially regarding Monte Carlo simulation: Heat Bath algorithm, Metro-Police algorithm, Markov Chain Monte Carlo, etc.

Huge and nice collection and also getting very much appreciated from the community.
It would be great if somebody can translate into English then it will be reaching out to global.

Maybe we should parse the rest of the command and see if the second argument matches the arguments of the executable?

We do not encourage people to create more than one database connection and to connect to databases in arbitrary extensions. The obvious exception are extensions whose sole purpose is to connect to databases. Dependency resolving is done by the developer. Eg:

app = Flask(__name__)
db = SQLAlchemy(app)
something = SomethingElse(app, db)

The problem comes with blueprints. If Someth

It should be a core layer but it doesn't show up on the website, nor the search function picks it up:

https://keras.io/layers/core/

I can use it without warnings, so I wouldn't expect it to be deprecated.

When the request headers are being echoed back, I'd like the default behavior to be to **** out the credentials.

Instead of this being displayed:
Authorization: Basic aHR0cGllOmlzQXdlc29tZQ==
I'd like to see:
Authorization: Basic ************************

Similarly:
Authorization: Bearer *******************************

Maybe a new option (like --show-creds) could be used to show the crede

As far as I know currently it's not possible to specify the password for the client side certificate you're using for authentication.
This is a bit of a problem because you typically always want to password protect your .pem file which contains the private key. openssl won't even let you create one without a password.

SUMMARY

Today I get an error when using ec2_eni_facts (recently renamed to ec2_eni_info) when using it with check mode.. I can't see a reason why this shouldn't wo

The test_logistic::test_dtype_match fails on 32 bit Windows as was reported in MacPython/scikit-learn-wheels#7 (comment) The implication is that for LogisticRegression, float32 and float64 input may result in somewhat different models depending on the processor architecture (and OS), which is troublesome.

This applies to Python 3.5, 3.6 but not 2.7, 3.4

https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/3_NeuralNetworks/bidirectional_rnn.py#L80

return tf.matmul(outputs[-1], weights['out']) + biases['out']

the shape of + left : (?,10)
the shape of + right : (10)

Why does it work ?

In my spider I have the following:

class MySpider(BaseSpider):

    allowed_domains = ['192.169.0.15:8080']

and in the parse method I do something like:

    yield Request('http://192.169.0.15:8080/mypage.html', self.my_callback_function)

the result when I run the code is that that scrapy reports:

DEBUG: Filtered offsite request to '192.168.0.15': <GET http://192

Currently, torch.gather does not broadcast. For example:

t = torch.tensor([[1,2],[1,2]])
torch.gather(t, 1, torch.tensor([[0,1,0],[0,1,0]]))

gives

tensor([[ 1,  2,  1],
        [ 1,  2,  1]])

But

t = torch.tensor([[1,2],[1,2]])
torch.gather(t, 1, torch.tensor([[0,1,0]]))

and

t = torch.tensor([[1,2]])
torch.gather(t, 1, torch.ten

It would be really nice if you could add an example which shows how the face encodings can be stored in a database and how to efficiently query them.

There was some initial work on the Nuimo hardware controller by some Nuimo employee. But the documentation is outdated and the setup was never easy, you had to jump through several loops to get it running.

I'd suggest to remove the component from Home Assistant. In its current state it just raises false hopes for anyone wishing to integrate Nuimo into their HA setup.

This list may be aimed at more professional developers / coders so if this is not in line with what you're trying to achieve, please close this issue. Or it could be the Arduino environment is close enough to C++ that it's not worth doing.

Otherwise, if you'd want some added, I can fork and build a short list of projects that might be of good use to Arduino newcomers.

Great resource you m

I'm considering adding ./tools/dev-release.sh to the Travis build matrix, so we're sure we can release at any point of master.

下面的问题，可以用小学三年级的方法解决，也可以使用初中方程式的方法解决，还可以使用大学的高级编程语言解决。请尝试使用所有方法解决，并进行比较。

有这样一个乘法算式：

人过大佛寺 * 我 = 寺佛大过人

这里的每一个字代表一个数字，不同的字代表不同的数字，你能把这些数字都找出来么？

项目推荐

• 项目地址：https://github.com/nushell/nushell

• 类别：Rust

• 项目后续更新计划：
  该项目已达到最低可行的产品质量水平。虽然贡献者将它作为日常驱动程序，但它可能对某些命
  令不稳定。未来版本将填补缺失的功能并提高稳定性。它的设计也随着成熟而变化。

  Nu附带了一组内置命令（如下所示）。如果命令未知，命令将弹出并执行它（在 Windows 上使
  用 cmd 或在 Linux 和 MacOS 上使用 bash），正确地通过 stdin，stdout 和 stderr，所以像你的日常 git 工作流程甚至 vim 可以正常工作。

  还有一本关于 Nu 的书，目前正在进行中。

• 项目描述：这是一个 Github 时代下，一个更加现代的 shell。Nushell 将 shell 命

I think listing anti-patterns with some basic reasoning about "why not" is a good idea.

Example - singleton. Although #256 has "won't fix" label

• it is in PRs section, and people (if searching history at all) are searching issues first.
• it was misspelled, Singelton instead of Singleton, therefore impossible to find

Listing most popular anti-patterns (without actual implementation) shou

From @jschendel in pandas-dev/pandas#30183 (comment)

In [6]: a = pd.array([0, 1, -1, None], dtype="Int64")

In [7]: a // 0
Out[7]: 
<IntegerArray>
[0, 0, 0, NaN]
Length: 4, dtype: Int64

In [8]: a // -0
Out[8]: 
<IntegerArray>
[0, 0, 0, NaN]
Length: 4, dtype: Int64

In [9]: a // 0.0
Out[9]: array([nan, nan, nan, nan])

In [10]: a 

In the chapter about handling time series with Pandas, you're analyzing bicycle traffic [nbviewer link].
In cell input 41, you compute the rolling sum, but the plot label says mean:

daily = data.resample('D').sum()
daily.rolling(30, center=True).sum().p