Journey VS Activeloop
Compare Journey VS Activeloop and see what are their differences
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Journey
Day One
Daylio
Penzu
Diaro
REFLECTLY
Stoic.
Diarium
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:
Journey ActiveloopNo features have been listed yet.
Based on our record, Journey should be more popular than Activeloop. It has been mentiond 15 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.
Should be this one: https://journey.cloud/. Source: over 2 years ago
I think she mentioned Journey before but not 100% sure. Source: about 3 years ago
One more to look at: I made a note of this one a few years ago. It looks completely free, cross-platform, free to sync. https://journey.cloud. Source: about 3 years ago
Right now I'm on Journey, which I really love, but it's not self-hosted. Which is a huge shame because I like everything else about it. Source: over 3 years ago
Journey is a journal. The point of the program is journaling. But it's not self-hosted. :c. Source: over 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
Day One - A simple journal application for the Mac, iPhone, and iPad. AboutTo learn more about Day One, see these two excellent reviews . PublishPublish is not available in Day One 2.
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Daylio - Daylio enables you to keep a private diary without having to type a single line.
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
Penzu - Keep all of your thoughts in one place using Penzu. The app is similar to a journal that you might write in but with a few modern touches that allow you to do everything from sending messages to decorating the pages.
Scale - Get human tasks done with just one line of code.