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System information

• TensorFlow version: 1.13.1
• Doc Link: https://www.tensorflow.org/api_docs/python/tf/cus

As discussed in #3926, the following files do not have .py extensions because TensorFlow does not yet support the current Python.

• dynamic_programming/k_means_clustering_tensorflow.py_tf
• machine_learning/lstm/lstm_prediction.py_tf
• neural_network/gan.py_tf
• neural_network/input_data.py_tf

TODO: Restore the .py file extensions

(e.g. for links and images), because some of these examples are now being rendered in the docs.

Added by @fchollet in requests for contributions.

🚀 Feature

Add support for torch.max with:

• CUDA bfloat16
• CPU float16 and bfloat16

Motivation

Currently, torch.max has support for CUDA float16:

>>> torch.rand(10, dtype=torch.float16, device='cuda').max()
tensor(0.8530, device='cuda:0', dtype=torch.float16)

But all three other combinations of CPU/CUDA and float16/bfloat16 are not supported:

>>> torch.ra

Most functions in scipy.linalg functions (e.g. svd, qr, eig, eigh, pinv, pinv2 ...) have a default kwarg check_finite=True that we typically leave to the default value in scikit-learn.

As we already validate the input data for most estimators in scikit-learn, this check is redundant and can cause significant overhead, especially at predict / transform time. We should probably a

Description

On scrapy crawl spidername
Original purpose of spiderloader is to search and load requred spider by it's name.
Hovewer current implementation of SpiderLoader literally import all project spider modules and hold it in memory up to end of process (even for cases when we need to load single spider for `

User now can change X AXIS FORMAT in time series charts and see date format on rich tooltip. However, the first date of the month is always missing its full time format in tooltip. (e.g. 1/1/2021 is displayed as Jan 2021) see video

https://user-images.githubusercontent.com/67837651/107318140-ef522c80-6a50-11eb-9447-3ee3be094592.mov

<img width="294" alt="Screen Shot 2021-02-08 at 9 05 58 PM"

Hello everyone, I will explain the current status of manim in this issue.

Now there are three main manim versions, and their differences:

1. The master branch of 3b1b/manim: Rendering on GPU using OpenGL and moderngl. Support interaction and have higher efficiency.
2. ManimCommunity/manim: (@ManimCommunity

Typically financial data is ordered by columns in reverse chronology ie columns '2020', '2019', '2018', '2017'.. But we need the pct_change function in reverse order. Looking at the Pandas reference (last example): https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.pct_change.html?highlight=pct_change#pandas.DataFrame.pct_change

df.pct_change(axis='columns')

In all of our current uses of os.umask or filesystem.umask, we always temporarily set it to a different value and then restore it using a try/finally block. I expect this pattern to continue.

Because of that, why don't we create a simple function in certbot.util that can be used as a context manager to set umask to a value and restore it to its previous value when exiting the with blo