zenml
pulsechain-testnet
Our great sponsors
zenml | pulsechain-testnet | |
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33 | 47 | |
3,638 | - | |
2.6% | - | |
9.8 | - | |
6 days ago | - | |
Python | ||
Apache 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.
zenml
- FLaNK AI - 01 April 2024
- What are some open-source ML pipeline managers that are easy to use?
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[P] I reviewed 50+ open-source MLOps tools. Here’s the result
Currently, you can see the integrations we support here and it includes a lot of tools in your list. I also feel I agree with your categorization (it is exactly the categorization we use in our docs pretty much). Perhaps one thing missing might be feature stores but that is a minor thing in the bigger picture.
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[P] ZenML: Build vendor-agnostic, production-ready MLOps pipelines
GitHub: https://github.com/zenml-io/zenml
- Show HN: ZenML – Portable, production-ready MLOps pipelines
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[D] Feedback on a worked Continuous Deployment Example (CI/CD/CT)
Hey everyone! At ZenML, we released today an integration that allows users to train and deploy models from pipelines in a simple way. I wanted to ask the community here whether the example we showcased makes sense in a real-world setting:
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How we made our integration tests delightful by optimizing our GitHub Actions workflow
As of early March 2022 this is the new CI pipeline that we use here at ZenML and the feedback from my colleagues -- fellow engineers -- has been very positive overall. I am sure there will be tweaks, changes and refactorings in the future, but for now, this feels Zen.
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Ask HN: Who is hiring? (March 2022)
ZenML is hiring for a Design Engineer.
ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. Built for data scientists, it has a simple, flexible syntax, is cloud- and tool-agnostic, and has interfaces/abstractions that are catered towards ML workflows.
We’re looking for a Design Engineer with a multi-disciplinary skill-set who can take over the look and feel of the ZenML experience. ZenML is a tool designed for developers and we want to delight them from the moment they land on our web page, to after they start using it on their machines. We would like a consistent design experience across our many touchpoints (including the [landing page](https://zenml.io), the [docs](https://docs.zenml.io), the [blog](https://blog.zenml.io), the [podcast](https://podcast.zenml.io), our social media, the product itself which is a [python package](https://github.com/zenml-io/zenml) etc).
A lot of this job is about communicating complex ideas in a beautiful way. You could be a developer or a non-coding designer, full time or part-time, employee or freelance. We are not so picky about the exact nature of this role. If you feel like you are a visually creative designer, and are willing to get stuck in the details of technical topics like MLOps, we can’t wait to work with you!
Apply here: https://zenml.notion.site/Design-Engineer-m-f-1d1a219f18a341...
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How to improve your experimentation workflows with MLflow Tracking and ZenML
The best place to see MLflow Tracking and ZenML being used together in a simple use case is our example that showcases the integration. It builds on the quickstart example, but shows how you can add in MLflow to handle the tracking. In order to enable MLflow to track artifacts inside a particular step, all you need is to decorate the step with @enable_mlflow and then to specify what you want logged within the step. Here you can see how this is employed in a model training step that uses the autolog feature I mentioned above:
- ZenML helps data scientists work across the full stack
pulsechain-testnet
- The PulseChain team welcomes the development of 3rd-party explorers!
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Testnet v4 for pulsechain
Yes. Take a look at https://gitlab.com/pulsechaincom/pulsechain-testnet for information on setting it up in your Meta Mask if you're interested in trying it out.
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Snapshot / Fork Timing
Source: https://gitlab.com/pulsechaincom/pulsechain-testnet/-/blob/master/README.md
- How do you add the pulsechain v3 testnet to metamask?
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Can you help me with this Pulsechain API?
Pulsechain testnet Gitlab is https://gitlab.com/pulsechaincom/pulsechain-testnet.
- Best or Weirdest - PulseChain people are speaking their mind on this BULL TRASH
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Devs got this now that there’s no more delegated proof of stake for Pulsechain 😎
All of the most recent updates are issues that were opened with no answer. The most recent activity 2 weeks ago was a user opening, closing and opening (issue #262)[https://gitlab.com/pulsechaincom/pulsechain-testnet/-/issues/262] with no answer. Prior to that, 3 weeks ago a user opened (issue #11)[https://gitlab.com/pulsechaincom/pls-faucet/-/issues/11] which has gone unanswered. Prior to that, 4 weeks ago opened (issue #261)[https://gitlab.com/pulsechaincom/pulsechain-testnet/-/issues/261], which has also gone unanswered.
- What are peoples thoughts on the Pulsechain timeline?
- my metamask cannot connect to pulsechain tesnet
- The vector attack mentioned by RH - thoughts ?
What are some alternatives?
MLflow - Open source platform for the machine learning lifecycle
sourcegraph - Code AI platform with Code Search & Cody
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
serverless-graphql - Serverless GraphQL Examples for AWS AppSync and Apollo
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Fleet - Open-source platform for IT, security, and infrastructure teams. (Linux, macOS, Chrome, Windows, cloud, data center)
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
trivy - Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
Poetry - Python packaging and dependency management made easy
Lean and Mean Docker containers - Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)
proposals - Temporal proposals
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.