
TickTick
Todoist
Trello
Remember The Milk
Things
Any.DO
Asana
Notion
Algorithmia
MCenter
5Analytics
Spell
neptune.ai
MuleSoft Anypoint Platform
Zapier
Datadog
TickTick
AlgorithmiaAlgorithmia is recommended for data scientists, machine learning engineers, and developers who need a flexible and scalable environment to deploy, manage, and share AI and machine learning models. It is particularly suitable for teams seeking to collaborate and leverage pre-built algorithms from a community-driven marketplace. Businesses looking to integrate machine learning capabilities into their operations without extensive infrastructure management will also benefit from Algorithmia's offerings.
Using this specifically for school. It has all the features of microsoft to-do and google tasks. After using Notion, I became accustomed to viewing tasks in a certain date range and being able to tag assignments, which neither of the aforementioned apps could do the same way. This keeps track of all tasks, their due date, type tags, and folders separated by class. Simple and fast windows app, android app, and android widgets.
Based on our record, TickTick seems to be a lot more popular than Algorithmia. While we know about 51 links to TickTick, we've tracked only 5 mentions of Algorithmia. 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.
First, go to the list on the ticktick.com website. That'll give you a url like this: "https://ticktick.com/webapp/#p/123456789123456789/tasks. (The string of numbers will change depending on the particular list). The URL to jump to this list in the TickTick app is then "ticktick:///webapp/#p/123456789123456789/tasks". This works on my Mac running Sonoma. Source: over 2 years ago
What is the integration that can be used for Ticktick (ticktick.com) task/habit tracker management? They have a API. If Dakboard can not, could embed it on a webpage but what work around would that be for Dakboard? Source: over 2 years ago
TickTick is a feature-rich and intuitive daily planner app that offers a wide array of tools to help individuals stay organized and boost productivity. With its sleek design and seamless user experience, TickTick stands out from other apps as an adaptable choice for managing tasks and schedules effectively. - Source: dev.to / almost 3 years ago
Https://ticktick.com/ for ToDo, project management, habits tracking... Source: almost 3 years ago
I'm sure there's examples for all the others too, but D looked a lot like TickTick's logo. Source: about 3 years ago
To push a model into production, there are additional concerns which the tools in the versioning, deployment and release space aim to solve. This includes obtaining adequate infrastructure to run the model reliably and facilitating easy model release or rollback. Solutions in the MLOps space includes Kubeflow, Pachyderm and Algorithmia. - Source: dev.to / over 4 years ago
And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 4 years ago
Algorithmia advertises themselves as an MLops platform for data scientists, and they provide an easy way to host models on a scalable REST API. Source: over 4 years ago
Seems similar to https://algorithmia.com. Source: over 4 years ago
Algorithmia.com โ Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / almost 5 years ago
Todoist - Todoist is a to-do list that helps you get organized, at work and in life.
MCenter - Machine Learning Operationalization
Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.
5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.
Remember The Milk - Remember The Milk is a task and time management application for mobile devices.
Spell - Deep Learning and AI accessible to everyone