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:
Based on our record, BitBucket seems to be a lot more popular than Activeloop. While we know about 73 links to BitBucket, 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.
We must be careful that the value, worth, and success of open-source projects are not measured by vanity metrics such as stars on GitHub or attempts at gaming the GitHub trending algorithm. For one thing, not all open source worth investment happens on GitHub, there are also platforms such as GitLab, Codeberg, and BitBucket where a lot of great work is being done. Some people also overblow the success of a... - Source: dev.to / about 2 months ago
Bitbucket — Unlimited public and private Git repos for up to 5 users with Pipelines for CI/CD. - Source: dev.to / 4 months ago
Atlassian Tweaks is a collection of userscripts and userstyles, developed by myself and my colleagues, which tweak some things and reduce friction in our Jira, Bitbucket, and Confluence workflows at our $DAYJOB. These scripts and styles were originally written for the self-hosted versions of the Atlassian services. However, most of scripts and styles support the Cloud versions as well. Screenshots, descriptions,... - Source: Hacker News / 5 months ago
The "space" that we have been referring to, can be any of the following: GitHub, GitLab, BitBucket, and many more. For this blog, we will stick to GitHub, since that's more beginner-friendly. - Source: dev.to / 5 months ago
BitBucket: An alternative to GitHub, personally I would use BitBucket for private projects and use GitHub for public projects. - Source: dev.to / 8 months ago
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
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
DoltHub - DoltHub is where people collaboratively build, manage, and distribute structured data.
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Gitea - A painless self-hosted Git service
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.