determined VS Mattermost

17. Determined AI | Github | tutorial

Use Determined if you want a nice UI https://github.com/determined-ai/determined#readme

I looked up and found [Determined Platform](determined.ai), tho it looks a very young project that I don't know if it's reliable enough.

- Developer Support Engineer (~1/3 client facing, triaging feature requests and bug reports, etc; 2/3 debugging/troubleshooting)

We are developing enterprise grade artificial intelligence products/services for AI engineering teams and fortune 500 companies and need more software devs to fill the increasing demand.

Find out more at https://determined.ai/. If AI piques your curiosity or you want to interface with highly skilled engineers in the community, apply within (search "determined ai" at careers.hpe.com and drop me a message at asnell AT hpe PERIOD com).

Check out Determined https://github.com/determined-ai/determined to help manage this kind of work at scale: Determined leverages Horovod under the hood, automatically manages cloud resources and can get you up on spot instances, T4's, etc. and will work on your local cluster as well. Gives you additional features like experiment management, scheduling, profiling, model registry, advanced hyperparameter tuning, etc.

Full disclosure: I'm a founder of the project.

These are some of the problems we are trying to solve with the Determined training platform. Determined can be run with or without k8s - the k8s version inherits some of the scheduling problems of k8s, but the non-k8s version uses a custom gang scheduler designed for large scale ML training. Determined offers a priority scheduler that allows smaller jobs to run while being able to schedule a large distributed job whenever you need, by setting a higher priority.

Ah I see - I think we're pretty much on the same page in terms of timetables. Although if you include TPU, I think it's fair to say that custom accelerators are already a moderate success.

Updated my profile. I've been working on DL training platforms and distributed training benchmarking for a bit so I've gotten a nice view into the GPU/TPU battle.

Shameless plug: you should check out the open-source training platform we are building, Determined[1]. One of the goals is to take our hard-earned expertise on training infrastructure and build a tool where people don't need to have that infrastructure expertise. We don't support TPUs, partially because a lack of demand/TPU availability, and partially because our PyTorch TPU experiments were so unimpressive.

[1] GH: https://github.com/determined-ai/determined, Slack: https://join.slack.com/t/determined-community/shared_invite/...

Take a look at Determined https://github.com/determined-ai/determined

determined is an open-source deep learning training platform that makes building models fast and easy. This project provides a CloudFormation template to bootstrap you into AWS and then has a number of tutorials covering how to manage your data, train and then deploy inference endpoints. If you are looking to explore more open source machine learning projects, then check this one out.

> 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.