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, Visual Studio Code seems to be a lot more popular than Activeloop. While we know about 1030 links to Visual Studio Code, 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.
If you haven't already installed VSCode, you can download it from the official website. Follow the installation instructions for your operating system. - Source: dev.to / 3 days ago
So, after a few seconds, your project will be ready and I would love if you open the project on some code editor. I'll be using Visual Studio Code. - Source: dev.to / 6 days ago
Additionally, if you're using an advanced Integrated Development Environment (IDE) like Visual Studio Code (VSCode), you can directly use iOS or Android emulators through the IDE. - Source: dev.to / 6 days ago
The plugin is now available in the Visual Studio Code Store and Open VSX Registry, and you can theoretically use it in Microsoft Visual Studio Code, code-server, VSCodium, and other vscode series IDEs, linked below:. - Source: dev.to / 10 days ago
Visual Studio Code (VS Code) is a popular, open-source code editor known for its extensibility and customization options. When paired with the official Flutter extension, VS Code transforms into a powerful development environment for building Flutter applications. - Source: dev.to / 12 days 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
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