Google Fit SDK
Lua
Kanteron
Definitive Healthcare
Accountable
Aptible
Doc Halo
Imprivata Secure Communication
Activeloop
Iterative.ai
Pachyderm
Scale
DoltHub
Snowflakepowe.red
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:
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Google Fit SDK might be a bit more popular than Activeloop. We know about 5 links to it since March 2021 and only 4 links to 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.
Have you taken a look into Google Fit yet? Source: over 3 years ago
For more detailed information about this API you can look at the official Google Fit API documentation. - Source: dev.to / almost 4 years ago
The best bet is probably to use the APIs to access Apple Fitness and Google Fit, rather than trying to talk to the watch directly. Source: about 4 years ago
If youd like to try your hand at coding, I think you could use the Google Fit API to try whipping your own solution up https://developers.google.com/fit/. Source: over 4 years ago
Cool! Https://developers.google.com/fit. Source: almost 5 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
Lua - Powerful, fast, lightweight, embeddable scripting language
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Kanteron - Clinical data workflow management solution.
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
Definitive Healthcare - Definitive Healthcare provides up-to-date, comprehensive and integrated data on hospitals, physicians, and other healthcare providers.
Scale - Get human tasks done with just one line of code.