seldon-core
Zulip
seldon-core | Zulip | |
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14 | 117 | |
4,220 | 20,090 | |
1.2% | 2.4% | |
7.6 | 10.0 | |
5 days ago | 2 days ago | |
HTML | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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seldon-core
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seldon-core VS MLDrop - a user suggested alternative
2 projects | 20 Feb 2023
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[D] Feedback on a worked Continuous Deployment Example (CI/CD/CT)
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. Seldon Core is a production grade open source model serving platform. It packs a wide range of features built around deploying models to REST/GRPC microservices that include monitoring and logging, model explainers, outlier detectors and various continuous deployment strategies such as A/B testing, canary deployments and more.
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[D] BentoML's Compatibility with Seldon;
I am using BentoML to build the docker container for a BERT model, and then deploy that using Seldon on GKE. The model's REST API endpoint works fine. at terms of compatibility with Seldon, the metrics are being scraped by Prometheus and visualized on Grafana. The only Seldon component that doesn't appear to be working is the request logging, which I have working for other applications that were deployed on Seldon. I am using the elastic stack from here. From my understanding, request logging should still be compatible and the ⠀only lost functionality should be Seldon's model metadata. Any insight on how to get the centralized request logging working? No errors were shown; it's just that the logs aren't being captured and sent to ElasticSearch. Anyone have any success using BentoML with Seldon and not losing any of Seldon's features?
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Building a Responsible AI Solution - Principles into Practice
While tools in the model experimentation space normally include diagnostic charts on a model's performance, there are also specialised solutions that help ensure that the deployed model continues to perform as they are expected to. This includes the likes of seldon-core, why-labs and fiddler.ai.
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Ask HN: Who is hiring? (January 2022)
Seldon | Multiple positions | London/Cambridge UK | Onsite/Remote | Full time | seldon.io
At Seldon we are building industry leading solutions for deploying, monitoring, and explaining machine learning models. We are an open-core company with several successful open source projects like:
* https://github.com/SeldonIO/seldon-core
* https://github.com/SeldonIO/mlserver
* https://github.com/SeldonIO/alibi
* https://github.com/SeldonIO/alibi-detect
* https://github.com/SeldonIO/tempo
We are hiring for a range of positions, including software engineers(go, k8s), ml engineers (python, go), frontend engineers (js), UX designer, and product managers. All open positions can be found at https://www.seldon.io/careers/
- Ask HN: Who is hiring? (December 2021)
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Has anyone implemented Seldon?
Also note our github repo has a link to our slack where you can ask active users: https://github.com/SeldonIO/seldon-core
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[Discussion] Look for service to upload a model and receive a REST API endpoint, for serving predictions
If you want to serve your model at scale, with a bunch of production features you should have a look at the open-source framework Seldon Core. It does what you're asking for plus a bunch of other cool stuff like routing, logging and monitoring.
- Seldon Core : Open-source platform for rapidly deploying machine learning models on Kubernetes
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Looking for open-source model serving framework with dashboard for test data quality
Seldon ticks most of those boxes if you already have some experience with kubernetes. You can set up a/b tests, do payload logging to elastic and then do monitoring on top of that, and it has drift detection and model explainer modules too. Idk about great expectations integration, but you could probably do something with a custom transformer module as part of the inference graph.
Zulip
- Ask HN: Open-Source Chat Platform Matrix, Rocketchat, Mattermost
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A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
Zulip — Real-time chat with a unique email-like threading model. The free plan includes 10,000 messages of search history and File storage up to 5 GB. also, it provides a self-hostable open-source version.
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Ask HN: What are some unpopular technologies you wish people knew more about?
(1) Zulip Chat - https://zulip.com/ - seems to be reasonably popular, but more people should know about it
I’ve been using it for over 5 years now [1], and it’s as good as ever. It’s way faster than any other chat app I’ve used. It has a good UI and conversation model. It has a simple and functional API that lets me curl threads and write blog posts based on them.
(only problem is that I Ctrl-+ in my browser to make the font bigger – I think it’s too dense for most people)
(2) re2c regex to state machine compiler - https://re2c.org
A gem from the 90’s, which people have done a great job maintaining and improving (getting Go and Rust target support in the last few years). I started using it in 2016, and used for a new program a few months ago. I came to the conclusion that it should have been built into C, because C has shitty string processing – and Ken Thompson both invented C AND brought regular languages to computing !!
In comparison, treesitter lexers are very low level, fiddly, and error prone. I recently saw dozens of ad hoc fixes to the tree-sitter-bash lexer, which is unsurprising if you look at the structure of the code (manually crawling through backslashes and braces in C).
https://github.com/tree-sitter/tree-sitter-bash/blob/master/...
These fixes are definitely appreciated, but I think it indicates a problem with the model itself.
(based on https://lobste.rs/s/endspx/software_you_are_thankful_for#c_y...)
[1] https://www.oilshell.org/blog/2018/04/26.html
- Wog wog
- Slack Takes an Important Step to Block Abuse
- Andreas Kling – “I have received a $100k sponsorship for Ladybird browser”
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Debate Land Beta 0.2 is out!
A few more truly in the vibe of open source projects not advertising their hosting providers: https://plane.so/ , https://element.io/ , https://www.loomio.com/ , https://zulip.com/ , and it keeps going... Very few open source projects, in the FOSS sense, are advertising their hosting provider.
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All Your Licensing Are Belong to Us^W You
I was so excited to see this happen!
I'm not a customer of yours, but your blog posts inspired me a lot. Your journey through quitting caffeine is a great and heartening read.
I've got two things to say;
1) Will you consider source-availabling the web portal (app.keygen.sh) too? Some enterprises could use it for easy management/support for custoner's licenses. Although now that I think about it, it could also discourage custom, more suitable implementations for each use-case... I'm torn on this one. I would like to see it available on GitHub too just out of curiosity too. It's very beautiful.
2) For a team + customers' chat, I cannot recommend Zulip enough. It's a joy to use and has the most innovative chat system I've ever seen. https://zulip.com
I hope your business keeps prospering!
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Ask HN: Who is hiring? (June 2023)
Zulip | Senior Flutter Engineer | REMOTE or San Francisco | Full-time | https://zulip.com/
At Zulip, we’re out to build the world’s best collaboration platform, and we’re committed to keeping it 100% open source. Zulip is the only modern team chat app that is designed for both live and asynchronous conversations. Our product serves as the communication hub for businesses, open-source projects, educators and communities around the world.
We're building the next generation of Zulip's mobile apps in Flutter. We're looking for a senior engineer with Flutter experience to join our small core team and help define the future of team chat. Our Flutter prototype is just a few months old, so this is a greenfield opportunity to help shape the app's architecture from early on.
For full details, check out https://zulip.com/jobs/. Apply at [email protected].
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The Apollo social media site
Anyways, I'm an internet stranger, not a social media expert. So let me know what you all think. And if we make a discord or zulip or something to make this a reality, let me know and I'd love to help any way I can.
What are some alternatives?
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
Mattermost - Mattermost is an open source platform for secure collaboration across the entire software development lifecycle..
MLServer - An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Rocket.Chat - The communications platform that puts data protection first.
evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
Matrix Console Web
great_expectations - Always know what to expect from your data.
Jitsi Meet - Jitsi Meet - Secure, Simple and Scalable Video Conferences that you use as a standalone app or embed in your web application.
alibi-detect - Algorithms for outlier, adversarial and drift detection
Element - A glossy Matrix collaboration client for the web.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
GrapesJS - Free and Open source Web Builder Framework. Next generation tool for building templates without coding