Activeloop
DoltHub
Iterative.ai
Looker
Managed MLflow
Domo
Sisense
Pachyderm
Trello
Asana
Basecamp
Wrike
Jira
Todoist
monday.com
Slack
Activeloop provides an optimized format for unstructured data, so users can stream their machine learning datasets while training ML models in PyTorch and TensorFlow. Activeloop acts as a data lake for deep learning on unstructured data and offers in-browser dataset visualization, querying, and version control. On top of those features, Activeloop integrates with experimentation and labeling tools to allow rapid iteration on computer vision datasets.
Machine Learning teams can apply Activeloop's data infrastructure to ship their models fast in the following use cases:
Activeloop TrelloTrello excels as a task planning tool, and I appreciate its user-friendly interface, especially when using it on a smartphone. Its mobile app is incredibly convenient, allowing me to stay organized and connected on the go. I appreciate how it streamlines collaboration without unnecessary complexities.
Incorporating Trello into my daily workflow has been a game-changer. It is an incredibly intuitive and versatile tool that has significantly boosted my productivity. What I particularly love about Trello is the visual aspect of its interface - the board and card system makes it easy to visualize my tasks and progress. The ability to create different boards for different projects or areas of work helps to keep everything organized and easy to manage. Adding, moving, and categorizing tasks are just a drag-and-drop away, making it straightforward and efficient. The flexibility to customize each card with due dates, labels, checklists, attachments, and even members has been beneficial in tracking the status of various tasks and deadlines.
he collaborative features are another huge plus. Sharing boards and tasks with colleagues, and being able to comment directly on cards, makes team projects and communication a breeze. On the go, I have found the Trello mobile app to be just as user-friendly and functional as the desktop version, allowing me to stay on top of my tasks no matter where I am. Overall, Trello has proved to be an invaluable tool in managing my daily tasks and enhancing productivity. I highly recommend it to anyone looking to streamline their workflow.
I have been using Trello for a couple of years now and I must say, it's a great tool for organising tasks and collaborating with team members. It's simple to use, has a nice interface, and the mobile apps are great for on-the-go productivity.
One of the best things about Trello is its flexibility. You can use it for almost any type of project, whether it's a personal to-do list or a complex team project. The ability to create multiple boards and add unlimited cards and lists makes it a great tool for keeping track of everything from the big picture to the minute details.
However, while Trello is a good tool, I don't think it's the best option out there. For one thing, the free version is quite limited in terms of features and functionality. You'll have to upgrade to a paid plan to get access to things like integrations, power-ups, and more. Additionally, I've found that Trello can be a bit slow at times, especially when you have a lot of boards and cards.
Based on our record, Trello seems to be a lot more popular than Activeloop. While we know about 232 links to Trello, we've tracked only 4 mentions of Activeloop. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake. The chatbot searches a dataset stored in Deep Lake to find relevant information and generates responses based on the user's input. Source: about 1 year ago
u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :). Source: about 2 years ago
Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know! Source: over 2 years ago
I'm Davit from Activeloop (activeloop.ai). Source: over 2 years ago
Remember I said that some apps address these issues much better than others? Recent famous examples are Linear and Figma. Both have disrupted incredibly competitive markets by being technologically superior. Other examples are Superhuman and a decade prior, Trello. When you look into what they did, you discover that they all converged on very similar patterns, and they all developed their respective... - Source: dev.to / 6 days ago
Trello stands out for its unique board and card system, offering a visual approach to task management that is both flexible and user-friendly. It's not just a shared to-do list app; it's a complete project management tool that can be tailored to any couple's needs. Couples can create boards for different aspects of their lives, like household chores, vacation planning, or even meal planning. - Source: dev.to / 4 months ago
Trello.com — Board-based project management. Unlimited Personal Boards, 10 Team Boards. - Source: dev.to / 5 months ago
We recently got back from a big trip, and that reminded me I’ve been meaning to publish a tip on how Trello has saved me a lot of time and hassle around travel – and how to set it up so that it can benefit you as well. I’m a big fan of kanban boards in general but this may have helped me more than any other. - Source: dev.to / 10 months ago
Trello: This tool offers flexible boards for managing tasks and project progress. - Source: dev.to / 5 months ago
DoltHub - DoltHub is where people collaboratively build, manage, and distribute structured data.
Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Basecamp - A simple and elegant project management system.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Wrike - Wrike is a flexible, scalable, and easy-to-use collaborative work management software that helps high-performance teams organize and accomplish their work. Try it now.
