View d2l on Snyk Open Source Advisor

Package Health Score

68 / 100

security
No known security issues
popularity
Popular
maintenance
Inactive
community
Active

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Popularity

Popular

GitHub Stars: 23.68K
Forks: 4.33K
Contributors: 300

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package d2l, we found that it has been starred 23,679 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Aug 18, 2023
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT-0

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 98
Open PR: 42
Last Release: 1 year ago
Last Commit: 9 months ago

Further analysis of the maintenance status of d2l based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for d2l is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Active

Readme: No
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 300
Funding: No

A good and healthy external contribution signal for d2l project, which invites more than one hundred open source maintainers to collaborate on the repository.

How about a good first contribution to this project? It seems that d2l is missing a README file.

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Package

Python Versions Compatibility: >=3.8

Age: 6 years
Latest Release: 1 year ago
Dependencies: 7 Direct
Versions: 50
Maintainers: 0
Wheels: OS Independent

Not sure how to use d2l?

To help you get started, we've collected the most common ways that d2l is being used within popular public projects.

eric-haibin-lin / AMLC19-GluonNLP / 02_sentiment_analysis / utils.py View on Github

def train(net, train_iter, test_iter, loss, trainer, num_epochs,
               ctx_list=d2l.try_all_gpus()):
    num_batches, timer = len(train_iter), d2l.Timer()
    for epoch in range(num_epochs):
        # store training_loss, training_accuracy, num_examples, num_features
        metric = [0.0] * 4
        for i, (features, labels) in enumerate(train_iter):
            timer.start()
            l, acc = d2l.train_batch_ch12(
                net, features, labels, loss, trainer, ctx_list)
            metric = [a+b for a, b in zip(metric, (l, acc, labels.shape[0], labels.size))]
            timer.stop()
            if (i+1) % (num_batches // 5) == 0:
                print('loss %.3f, train acc %.3f' % (metric[0]/metric[2], metric[1]/metric[3]))
        test_acc = d2l.evaluate_accuracy_gpus(net, test_iter)
    print('loss %.3f, train acc %.3f, test acc %.3f' % (
        metric[0]/metric[2], metric[1]/metric[3], test_acc))
    print('%.1f exampes/sec on %s' % (
        metric[2]*num_epochs/timer.sum(), ctx_list))

View more ways to use d2l

d2l dependencies

jupyter matplotlib matplotlib-inline numpy pandas requests scipy

FAQs

What is d2l?

Dive into Deep Learning. Visit Snyk Advisor to see a full health score report for d2l, including popularity, security, maintenance & community analysis.

Is d2l popular?

The python package d2l receives a total of 15,263 weekly downloads. As such, d2l popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is d2l well maintained?

We found indications that d2l is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is d2l safe to use?

The python package d2l was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 25 December-2024, at 04:27 (UTC).

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d2l

Dive into Deep Learning For more information about how to use this package see README

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