determined VS Camunda BPM

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.

In Pictet Technologies, my team relies a lot on decision models. These models allow our business analysts to input Compliance business rules directly into the systems with minimal developer intervention. When I joined the company, we used to use both Drools and Camunda. However, we faced severe memory and performance issues, specifically with Camunda, prompting me to explore alternatives.

BPMN is actually a set of standards has been used for years for complex enterprise processes, and nowadays it's becoming more accessible thanks to the development of the new techniques. Web based tooling (like Camunda, BPMN.io), more platforms supporting integrating diagrams into the flows, and remote work culture all helps us to use BPMN easier. Besides all of that, we drive/lead more and more initiatives together and we're keep looking for the efficiency and improvement.

The Universal Process Orchestrator | Camunda

Bernd Ruecker is co-founder and chief technologist of Camunda as well as the author ofPractical Process Automation with O’Reilly. He likes speaking about himself in the third person. He is passionate about developer-friendly process automation technology. Connect viaLinkedIn or follow him onTwitter. As always, he loves getting your feedback. Comment below orsend him an email.

Camunda | Senior Frontend Engineer | REMOTE EMEA (Europe, Middle East and Africa) | Full-time

At Camunda - https://camunda.com - we have a simple goal: automate any processes, anywhere. All the way from Zalando's online shop to NASA's space missions, processes are everywhere, and at Camunda we have made it our mission to enable organizations to design, automate and improve these processes — no matter where they are and what they entail.

Camunda is an open-source software company innovating process automation with a developer-friendly approach that is standards-based, highly scalable, and collaborative for business and IT.

You'd be joining our Optimize team that builds the Business Intelligence component of the Camunda Stack - we do this with highly specialized visualizations that leave our customers in awe.

I'm looking for a keen Senior Frontend Engineer who is passionate about building beautiful and reliable web applications with React and modern JavaScript while enjoying collaborating closely within a diverse, cross-functional team of Engineers, a Product Manager, and a Product Designer.

Frontend-Stack: React, Chart.js, Jest, Enzyme, Testcafe, Node.js

Learn more and apply at: https://camunda.com/career/career-details/?gh_jid=5093941003...

Camuda and Zeebe are targeted to microservices developers.

I'm still looking for a better solution. Do you know any other good solutions? Do you know lowcodeplatform.io or camunda.com?

I know this is not for laravel, but is this the direction you're looking for? https://camunda.com/