emlearn
leapp
emlearn | leapp | |
---|---|---|
5 | 73 | |
424 | 1,527 | |
4.8% | 0.5% | |
9.2 | 9.7 | |
6 days ago | 19 days ago | |
Python | TypeScript | |
MIT License | Mozilla Public License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
emlearn
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EleutherAI announces it has become a non-profit
> My big gripe, and for obvious reasons, is that we need to step away from cloud-based inference, and it doesn't seem like anyone's working on that.
I think there are steps being taken in this direction (check out [1] and [2] for interesting lightweight transpile / ad-hoc training projects) but there is a lack of centralized community for these constrained problems.
[1] https://github.com/emlearn/emlearn
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Simple and embedded friendly C code for Machine Learning inference algorithms
Examples: Gaussian Mixture Models (GMM) for anomaly detection or clustering Mahalanobis distance (EllipticEnvelope) for anomaly detection Decision trees and tree ensembles (Random Forest, ExtraTrees) Feed-forward Neural Networks (Multilayer Perceptron, MLP) for classification Gaussian Naive Bayes for classification
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[D] Drop your best open source Deep learning related Project
https://github.com/emlearn/emlearn is a ML inference engine for microcontrollers and embedded systems, allowing to deploy models to any platform with a C99 compiler. Has also been used for network traffic analysis as a Linux kernel module, and embedded in Android apps.
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Regression with the C64
The C64 has 64 kB of RAM. That is more than many contemporary microcontrollers. Using something like https://github.com/emlearn/emlearn allows to generate portable C code of ML models for such targets. Should be able to classify digits (MNIST) no problem on such hardware. Assuming there is a workable C compiler available.
Disclosure: Maintainer of emlearn project.
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Ask HN: What are some tools / libraries you built yourself?
I built emlearn, a Machine Learning inference engine for microcontrollers and embedded systems. It allows converting traditional ML models to simple and portable C99, following best practices in embedded software (no dynamic allocations etc). https://github.com/emlearn/emlearn
leapp
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Ask HN: Who wants to be hired? (March 2024)
Summary:
Do you find yourself overwhelmed with work, requests, or complaints and in need of assistance to alleviate the pressure, enhance communication, facilitate organization, prioritize tasks, and foster greater trust and transparency?
Alternatively, I can work as a full stack developer.
AWS Community builder, AWS User group Leader, public speaker (https://www.youtube.com/watch?v=qdu58NAQfU0&t=271s)
Or perhaps you need both? =)
I have 4+ years of experience as a product manager and 8 in product development (before pm: agile coach, UX designer, and developer).
I've been the co-founder of the open-core company behind the OSS project Leapp (https://github.com/Noovolari/leapp)
Please feel free to reach out.
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OKTA Identity Engine Upgrade
You can switch to saml2aws using the browser method instead of the Okta method and it will continue to work after the upgrade. There is also a really neat GUI tool to manage your session tokens that also works. https://www.leapp.cloud
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When using AWS Organizations SSO for multiple accounts (dev, stage, prod) I have a hard time knowing which account I'm currently logged into.
Take a try to Leapp: https://github.com/Noovolari/leapp
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Ask HN: Should open source projects track you?
Hello everyone, I'm the maintainer of an open-source DeveloperTool (https://github.com/Noovolari/leapp)
With a heuristic of 7000 users daily, I started feeling the need to have more information on how Users are using the project to improve it.
Is it the right thing to do to create a better Developer Experience and gain feedback for the end users?
On a side:
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Ask HN: Secure and simple way for secret/credential management in a startup?
- For all your employees I can advice you Leapp as open-source project (https://github.com/Noovolari/leapp). It solve mayor of the problem listed here:
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Alternative Official SDK
I am looking to manage Leapp (https://www.leapp.cloud/) from the StreamDeck. Leapp allows you to manage and switch between different Cloud Accounts (AWS, Azure, etc). Leapp has a command line interface which I could automate with a StreamDeck plugin. Unfortunately it looks like the only official SDK is the sandboxed JavaScript one. This means I cannot automate command line tools with it.
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What are AWS credentials?
If you’re wondering if there is a tool that allows you to stop thinking about AWS credentials and where to store them in the right way, give a look at Leapp! It takes the responsibility of storing long-term credentials in the system vault, generating/refreshing short-term credentials, and placing them in the right place for the clients to use them.
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AWS multi-account strategy explained
Still, there is an elementary problem that we need to address, and it’s more on the operational side of things. Once we secured and implemented a tremendous multi-account strategy, how do people access AWS accounts? It turns out there is a fantastic open-source tool that lets you handle that with no effort, and its name is Leapp.
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AWS Credentials: from Environment Variables to credentials_process
When you have to configure access to multiple AWS accounts using the Assume Role access pattern, it becomes difficult to get rid of all the Named Profiles configuration data and relationships. When you’ve to deal with a complex access scenario, tools like Leapp (https://www.leapp.cloud) come to the rescue! Leapp avoids you to specify relationships between Named Profiles in the config file, as the access methods are stored in the tool-specific configuration file.
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Multiple active AWS consoles in the same browser with Leapp open-source browser extension (for Firefox and Chrome)
Leapp Github repository
What are some alternatives?
miceforest - Multiple Imputation with LightGBM in Python
aws-vault - A vault for securely storing and accessing AWS credentials in development environments
cppflow - Run TensorFlow models in C++ without installation and without Bazel
sshportal - :tophat: simple, fun and transparent SSH (and telnet) bastion server
fselect - Find files with SQL-like queries
saml2aws - CLI tool which enables you to login and retrieve AWS temporary credentials using a SAML IDP
pico-wake-word - MicroSpeech Wake Word example on the Raspberry Pi Pico. This is a port of the example on the TensorFlow repository.
gatus - ⛑ Automated developer-oriented status page
sklearn-project-template - Machine learning template for projects based on sklearn library.
lowdefy - The config web stack for business apps - build internal tools, client portals, web apps, admin panels, dashboards, web sites, and CRUD apps with YAML or JSON.
experta - Expert Systems for Python
simplelocalize-cli - SimpleLocalize CLI is a developer-friendly command-line tool for uploading and downloading translation files