GNOME
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Eclipse IoT
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Activeloop
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Pachyderm
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DoltHub
Snowflakepowe.red
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:
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Based on our record, GNOME should be more popular than Activeloop. It has been mentiond 22 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.
The gnome extensions manager can't download extensions from gnome.org, but the extensions manager on flathub can, in addition to the usual extension settings. Source: over 2 years ago
Looks like all of gnome.org is down. I can't get to extensions or anything else. Source: about 3 years ago
Just update. New release includes some features you maybe want, and general improvements. https://gnome.org. Source: about 3 years ago
Using Xorg and a Window/Desktop Manager (maybe you heard of gnome), you're able to have a functional desktop like Windows. Source: over 3 years ago
That third graph doesn't do a good job of accurately assigning commits to organization. For example, two the largest GNOME contributors for Red Hat are Florian Mรผllner and Jonas ร dahl. Both of them don't commit using a redhat.com email address. Instead they use gnome.org and gmail.com respectively. So they are incorrectly assigned in the third graph to either Personal or other where they should be with Red Hat. Source: over 3 years 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 3 years 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 4 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 4 years ago
I'm Davit from Activeloop (activeloop.ai). Source: over 4 years ago
Notepad++ - A free source code editor which supports several programming languages running under the MS Windows environment.
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
VS Code - Build and debug modern web and cloud applications, by Microsoft
Scale - Get human tasks done with just one line of code.
