Slite is a simple collaborative documentation tool that helps businesses stay organized and work more thoughtfully.
Slite is highly recommended for small to medium-sized teams and startups that need a straightforward way to create, organize, and share documentation. It's especially beneficial for remote teams that prioritize collaboration and knowledge sharing.
Based on our record, OpenCV should be more popular than Slite. It has been mentiond 60 times since March 2021. 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.
We use slite.com and it's really been great. Source: over 2 years ago
Slite - super underrated knowledge base, prettier and simpler than Notion, cool team & badass blog. Source: over 2 years ago
We use slite.com (for no particular reason) and link to each sop in a google spreadsheet process thats set up for a particular large task. That spreadshseet is shared among everyone. Each SOP contains a video as well of how to do the task being as specific as possible. Source: almost 3 years ago
For solo knowledge management: Logseq For collaborative work, longform discussions, shared wiki: Slite. Source: about 3 years ago
This is really just advertising (little content in the slides) for Slite: https://slite.com/. - Source: Hacker News / over 3 years ago
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / about 1 month ago
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 2 months ago
Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 6 months ago
OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 7 months ago
This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 9 months ago
Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Nuclino - Nuclino works like a collective brain, helping teams bring all their knowledge, docs, and projects together in one place. It's a modern, simple, and blazingly fast way to collaborate.
NumPy - NumPy is the fundamental package for scientific computing with Python
Confluence - Confluence is content collaboration software that changes how modern teams work
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.