labml-nn

v0.4.137

🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, diffusion, etc. 🧠 For more information about how to use this package see README

Latest version published 3 months ago

License: MIT

PyPI

GitHub

Package Health Score

74 / 100

security
No known security issues
popularity
Recognized
maintenance
Healthy
community
Sustainable

Popularity

Recognized

GitHub Stars: 55.9K
Forks: 5.74K
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package labml-nn, we found that it has been starred 55,895 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Aug 24, 2024
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 28
Open PR: 1
Last Release: 3 months ago
Last Commit: 3 months ago

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

We found that labml-nn demonstrates a positive version release cadence with at least one new version released in the past 3 months.

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

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 40
Funding: No

With more than 10 contributors for the labml-nn repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like labml-nn is missing a Code of Conduct.

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Package

Python Versions Compatibility: ==3.*

Age: 4 years
Latest Release: 3 months ago
Dependencies: 6 Direct
Versions: 80
Maintainers: 1
Wheels: OS Independent

Readme

labml.ai Deep Learning Paper Implementations

This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations,

The website renders these as side-by-side formatted notes. We believe these would help you understand these algorithms better.

Screenshot

We are actively maintaining this repo and adding new implementations almost weekly. for updates.

Paper Implementations

✨ Generative Adversarial Networks

✨ Graph Neural Networks

✨ Counterfactual Regret Minimization (CFR)

Solving games with incomplete information such as poker with CFR.

Kuhn Poker

✨ Reinforcement Learning

Proximal Policy Optimization with Generalized Advantage Estimation
Deep Q Networks with with Dueling Network, Prioritized Replay and Double Q Network.

✨ Uncertainty

Evidential Deep Learning to Quantify Classification Uncertainty

✨ Langauge Model Sampling Techniques

Installation

pip install labml-nn

labml-nn dependencies

einops fairscale numpy torch torchtext torchvision

FAQs

What is labml-nn?

🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, x... Visit Snyk Advisor to see a full health score report for labml-nn, including popularity, security, maintenance & community analysis.

Is labml-nn popular?

The python package labml-nn receives a total of 1,295 weekly downloads. As such, labml-nn popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is labml-nn well maintained?

We found that labml-nn demonstrated a healthy version release cadence and project activity. It has a community of 40 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is labml-nn safe to use?

The python package labml-nn 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 11 November-2024, at 10:04 (UTC).

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Package Health Score

Direct Usage Popularity

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Readme

labml.ai Deep Learning Paper Implementations

Paper Implementations

✨ Transformers

✨ Low-Rank Adaptation (LoRA)

✨ Eleuther GPT-NeoX

✨ Diffusion models

✨ Generative Adversarial Networks

✨ Recurrent Highway Networks

✨ LSTM

✨ HyperNetworks - HyperLSTM

✨ ResNet

✨ ConvMixer

✨ Capsule Networks

✨ U-Net

✨ Sketch RNN

✨ Graph Neural Networks

✨ Counterfactual Regret Minimization (CFR)

✨ Reinforcement Learning

✨ Optimizers

✨ Normalization Layers

✨ Distillation

✨ Adaptive Computation