Descript
HappyScribe
Trint
Sonix
Otter.ai
Streamlabs Podcast Editor
Headliner
VEED
Activeloop
DoltHub
Iterative.ai
Looker
Managed MLflow
Domo
Sisense
Pachyderm
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:
Descript ActiveloopBased on our record, Descript should be more popular than Activeloop. It has been mentiond 12 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.
For transcripts, I use Descript. Descript is able to identify all four of our panel members, and I usually spend an hour or so cleaning it up and setting the transcript into a video for YouTube. Source: about 1 year ago
I don't understand exactly what you are trying to do, but I'm pretty sure Descript can do what you want. Source: over 1 year ago
I tried to use descript.com but found out that they didn't have a download for Linux and that their online version doesn't allow you to edit your transcript. Source: over 1 year ago
Edit your audio with software like Descript or Audacity. Source: almost 2 years ago
Looks like an 'audiogram' from descript.com - you can make them on their paid service. Source: about 2 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 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
HappyScribe - Happy Scribe automatically transcribes your interviews
DoltHub - DoltHub is where people collaboratively build, manage, and distribute structured data.
Trint - Transcribe spoken words from your video & audio files
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Sonix - Automatically convert audio & video to text in minutes
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.