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, VEED seems to be a lot more popular than Activeloop. While we know about 61 links to VEED, 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.
Where is the source, veed.io has an AI voice generator! Source: 7 months ago
I have been looking for some simple opensource library that allows users to edit videos like veed.io or canva's video editor but I am unable to find any. The one library I found was remotion but that seems to be more extensive. Are there any alternates? Source: 11 months ago
There are many tools that let you add subtitles via graphical editor instead. I've used the veed.io free web app and found it very easy to use. Source: 12 months ago
Used veed.io for a while, it's pretty decent. Source: 12 months ago
Thanks for the support! For the script I used chat gpt, for the voiceovers the best website I could find was eleven labs (it has the realest voice but you only get 10000 words for free but you can easily switch emails). For the editing I used canva ( I think its the best because you get a 30 day free trial and that's where I got every video from plus its drag and drop) and for the subtitles I used veed.io (its... Source: about 1 year 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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