alibi-detect VS Mattermost

Numerous tools exist for detecting anomalies in time series data, but Alibi Detect stood out to me, particularly for its capabilities and its compatibility with both TensorFlow and PyTorch backends.

That is, to see whether a test image belongs in the distribution of the training images and to provide a routine for special cases. After a bit of reading Ive found that this is related to the field of drift detection in which I tried out alibi-detect . Whereby the training images are trained by an autoencoder and any subsequent drift will be flagged by the AE.

Wasserstein distance is not very suitable for drift detection on most problems given that the sample complexity (and estimation error) scales with O(n^(-1/d)) with n the number of instances (100k-10m in your case) and d the feature dimension (192 in your case). More interesting will be to use for instance a detector based on the maximum mean discrepancy (MMD) with estimation error of O(n^(-1/2)). Notice the absence of the feature dimension here. You can find scalable implementations in Alibi Detect (disclosure: I am a contributor): MMD docs, image example. We just added the KeOps backend for the MMD detector to scale and speed up the drift detector further, so if you install from master, you can leverage this backend and easily scale the detector to 1mn instances on e.g. 1 RTX2080Ti GPU. Check this example for more info.

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/

I work in this area and also contribute to outlier/drift detection library https://github.com/SeldonIO/alibi-detect. To tackle this type of problem, I would strongly encourage following a more principled, fundamentally (statistically) sound approach. So for instance measuring metrics such as the KL-divergence (or many other f-divergences) will not be that informative since it has a lot of undesirable properties for the problem at hand (in order to be informative requires already overlapping distributions P and Q, it is asymmetric, not a real distance metric, will not scale well with data dimensionality etc). So you should probably look at Integral Probability Metrics (IPMs) such as the Maximum Mean Discrepancy (MMD) instead which have much nicer behaviour to monitor drift. I highly recommend the Interpretable Comparison of Distributions and Models NeurIPS workshop talks for more in-depth background.

All of the above functionality and more can be easily used under a simple API in https://github.com/SeldonIO/alibi-detect.

> Tell me another platform that is free, has realtime chat, voice and video, has stable service, allows sharing images and other media, with good ownership management... and is open source.

Mattermost: https://mattermost.com/

Rocket.Chat: https://www.rocket.chat/

Nextcloud Talk: https://nextcloud.com/talk/

Self hosting and some assembly required. I've run all of them on cheap VPSes to explore a Slack/Discord replacement, neither was mindblowing but all of them seemed okay (Nextcloud's offering was rather barebones, though).

Audio and video support varies because getting those right is challenging, at best you'd just integrate with something like Jitsi, that one's actually pretty good for meetings and such: https://jitsi.org/ and has a cloud version too: https://meet.jit.si/ (yet people still go for Zoom and it's odd UI/UX choices)

I actually rather liked forums back in the day, but I guess nobody will be setting up that many phpBB instances in the current year, though projects like Discourse also seem promising: https://www.discourse.org/

I don't think many people at all will be leaving Discord, due to how entrenched the platform is (network effect): if you want people to help you with what you're working on, you go where they are, not vice versa.

Mattermost, Inc. | Senior React Native Engineer | REMOTE (US Only) | Full-Time

At Mattermost we build an open core, chat and collaboration platform focused on making users with mission critical work more productive while also allowing our customers to self-deploy and have full control over their own data.

We’re looking for a Senior React Native Engineer who has the depth to significantly move the performance needle of our app while also having the breadth to contribute across our stack.

Check out our open source mobile codebase: https://github.com/mattermost/mattermost-mobile. Meta uses the Mattermost RN app as the benchmark for performance testing of their Hermes JS engine: https://mattermost.com/blog/hermes-mattermost/. Want to set the bar for what a complex, high performing React Native app can do? Want to do it open source? Join our team!

Apply here: https://jobs.lever.co/mattermost/a38ea8f0-6c27-4178-a988-801...

Mattermost for Chat, and also for Notifications sent by Uptime-Kuma

Mattermost offers a secure, open-source solution for seamless collaboration throughout the software development lifecycle. Tailored to cater to technical and operational needs, it easily integrates with a wide range of third-party developer tools—to streamline development and engineering workflows. With self-hosted and private cloud deployment options, coupled with access to the source code, you have complete control over the data via a shared, adaptable, and extensible platform designed specifically for your team. Kindly suggested by Molasses_Major.

FWIW, most of the TypeScript lines of code are in the E2E tests[0] and the webapp dir [1], which, as the name suggests, contains "the client code for the Mattermost web app". So we should really only be counting lines of Go code.

[0] https://github.com/mattermost/mattermost/tree/master/e2e-tes...

[1] https://github.com/mattermost/mattermost/tree/master/webapp

Mattermost is an good alternative to companies, workers and teams.

oder auch Mattermost

Revolt, Guilded, Element (Matrix Client), Matrix, Cinny (Matrix Client), Spacebar, Rocket Chat, Mikoto, Mattermost, Teamspeak and Nertivia

might be overkill but https://mattermost.com/

But it seems that you're right for Mattermost.