Sahha VS Activeloop
Compare Sahha VS Activeloop and see what are their differences
Generate professional standard operating procedures in minutes. AI-powered SOP creation built on 10,000+ industry procedures.
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Sahha
Breathhh
Open Wearables
Empathika
Lifted
Terra - Connect Widget
Validic
Thryve Health
Activeloop
Iterative.ai
Pachyderm
Scale
DoltHub
Snowflakepowe.red
Sahha enables companies that require health and wearable data to connect to 200+ Wearables & Health Data Sources with One API.
Sahha also provides real-time sleep, wellbeing, mental wellness, activity and readiness white-label ready health scores.
Sahha's Insights product provides user health insights, trends and comparisons.
Sahha's Archetypes API provides user behavioral health personas / labels enabling you to easily categorize users across common health and behavior trends.
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:
Sahha ActiveloopNo features have been listed yet.
Based on our record, Activeloop should be more popular than Sahha. It has been mentiond 4 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.
@bberenberg - you may be interested in https://sahha.ai/ They're building a developer API to measure wellness and mood without user input. I'm considering maybe trying it in an app we're developing, but I have no affiliation with them (aside from being in the same part of the world Aus/Nz). - Source: Hacker News / almost 3 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 3 years 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 4 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 4 years ago
I'm Davit from Activeloop (activeloop.ai). Source: over 4 years ago
Breathhh - Mental and physical exercise with scientifically proven effectiveness.
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Open Wearables - Open-source, self-hosted health intelligence platform that unifies data from 200+ wearables into a single API. Built to democratize access to wearable data infrastructure that's typically locked behind enterprise contracts.
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
Empathika - All-in-one integrated and secure care home app. Medication management, care management, HR, Recruitment, Training, Compliance, and more.
Scale - Get human tasks done with just one line of code.