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, Trint should be more popular than Activeloop. It has been mentiond 8 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.
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
Create audio descriptions of visual content, such as images and videos. Descript, Caption AI, Trint, and IBM Watson Captioningare good tools for generating captions and descriptions for videos. Source: about 1 year ago
You could check on this for transcription. Source: over 1 year ago
There's simple ones like Trint (https://trint.com/) for transcription of interviews and things like Grammarly for improving text. ChatGPT is also good at improving text: chat.openai.com/. Source: over 1 year ago
If not, see how you get on with Trint. It’s AI transcription but you should find it more accurate than Premiere (and you can use it to quickly create SRT files after the transcript has been reviewed/corrected). Trint is very good. Source: over 1 year ago
The client I’m working for currently turned me on to https://trint.com/. It’s a transcription service that syncs the searchable transcript to the time code of the clip. Script has bad timecode for a cut? Search the text to jump to the correct time. Bad inflection on the end of a sound bite? Search for the word with a period after it, so you only get sentence ending instances of the word. It has made my life so... Source: almost 2 years ago
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