-
Updated
Jul 14, 2021 - Python
Data Science
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
Here are 20,051 public repositories matching this topic...
Screenshot
Description
chart 3 dot menu is behind the chart title panel in chart maximize mode
-
Updated
Jun 28, 2021 - Jupyter Notebook
-
Updated
May 12, 2021 - Jupyter Notebook
-
Updated
May 13, 2021 - Python
-
Updated
Jul 14, 2021 - Python
-
Updated
Jun 28, 2021 - Python
-
Updated
Jul 11, 2021
Hi all!
I am trying a self-play based scheme, where I want to have two agents in waterworld environment have a policy that is being trained (“shared_policy_1”) and other 3 agents that sample a policy from a menagerie (set) of the previous policies of the first two agents ( “shared_policy_2”).
My problem is that I see that the weights in the menagerie are overwritten in every iteration by the cur
Summary
st.image doesn't work when you pass a URL pointing to an SVG file
Steps to reproduce
st.image("https://streamlit.io/images/brand/streamlit-mark-color.svg")
Expected behavior:
The image loads.
Actual behavior:
<img width="714" alt="Screen Shot 2021-07-06 at 2 35 54 PM" src="https://user-images.githubusercontent.com/690814/124669579-7ae8b180-de6
The docs for IPython.core.interactiveshell.InteractiveShell.set_custom_exc
have horribly mangled a warning message into a list of arguments. I can't work out at a glance why this is happening; it might be a sphinx.ext.napoleon
bug, or a sphi
In recent versions (can't say from exactly when), there seems to be an off-by-one error in dcc.DatePickerRange. I set max_date_allowed = datetime.today().date()
, but in the calendar, yesterday is the maximum date allowed. I see it in my apps, and it is also present in the first example on the DatePickerRange documentation page.
E
🚀 Feature
Support the following:
@dataclass
class MyDataModule(LightningDataModule):
pass
Motivation
To reduce boilerplate code is at the core of philosophy in Lightning. It should be compatible with dataclasses.
Code sample
Here is an example. It currently does not work as we have some internal attributes that don't play well with the dataclass.
Problem
links to the matplotlib source on the website. This is ok, but subsequent navigation of the code is more frustrating than on github. For example I can't figure out how to the get to the folder containing https://matplotlib.org/stable/_modul
-
Updated
Apr 16, 2021 - JavaScript
-
Updated
Jul 9, 2021 - Jupyter Notebook
-
Updated
May 20, 2020
In gensim/models/fasttext.py:
model = FastText(
vector_size=m.dim,
vector_size=m.dim,
window=m.ws,
window=m.ws,
epochs=m.epoch,
epochs=m.epoch,
negative=m.neg,
negative=m.neg,
# FIXME: these next 2 lines read in unsupported FB FT modes (loss=3 softmax or loss=4 onevsall,
# or model=3 supervi
-
Updated
May 2, 2021
-
Updated
Oct 16, 2020 - Jupyter Notebook
-
Updated
Jul 14, 2021
-
Updated
Jul 14, 2021 - Jupyter Notebook
-
Updated
May 16, 2021
-
Updated
Jul 14, 2021 - Python
-
Updated
Jul 13, 2021 - Python
Is your feature request related to a problem? Please describe.
I typically used compressed datasets (e.g. gzipped) to save disk space. This works fine with AllenNLP during training because I can write my dataset reader to load the compressed data. However, the predict
command opens the file and reads lines for the Predictor
. This fails when it tries to load data from my compressed files.
-
Updated
Jun 16, 2021
-
Updated
Jul 14, 2021 - Python
- Wikipedia
- Wikipedia
Describe the issue linked to the documentation
The description of cross-validation estimator does not explain whether the final model parameters are estimated on the entire training set, using the optimal hyperparameter obtained through cross-validation.