Activeloop
DoltHub
Iterative.ai
Looker
Managed MLflow
Domo
Sisense
Pachyderm
HappyScribe
Trint
Sonix
SpeechText.ai
Audext
Transcri.io
Otter.ai
Transcribe
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:
Activeloop HappyScribeActiveloop might be a bit more popular than HappyScribe. We know about 4 links to it since March 2021 and only 3 links to HappyScribe. 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
Happyscribe.com is quite nice for that, with automated voice recognition and a WYSIWYG interface for subtitling (though I've never used it with Russian). Source: over 1 year ago
I have just found happyscribe.com. I am trying it and it translated quite good. I have to change perhaps 10% of the words. Source: over 1 year ago
This is more of a question than an answer, but has anyone used an online audio transcription site to create an English transcription directly from a Spanish language audio podcast MP3 file? I was just looking into this this morning, and seems like there are some services out there that will do this, either for free for small files (10 min) or at what seems like a reasonable price. I was looking at veed.io,... Source: almost 2 years ago
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.
SpeechText.ai - AI software for speech to text conversion and audio/video transcription. Get accurate results using domain-specific speech recognition technology!