Sumo Logic
Datadog
Dynatrace
LogicMonitor
Logz.io
Splunk Enterprise
Zabbix
Graylog
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:
Sumo Logic ActiveloopNo features have been listed yet.
Based on our record, Activeloop should be more popular than Sumo Logic. 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.
Hello, my name is Caleb. I'm a product manager by trade, and have enjoyed working in/around the software industry over the past 15 years. I was most recently CEO & co-founder at Sensu (https://sensu.io), which was eventually acquired by Sumo Logic (https://sumologic.com), resulting in my "funemployment". I've met so many people over the course of my career who are interested in making websites โ they even teach... - Source: Hacker News / about 1 year ago
He's coming with years of experience of having architected systems at Uber, Flock, Sumo Logic and was a founding engineer who helped design the cryptography primitives at Zeta. Someone of his caliber coming onboard means that we'll be able to ship nicer things faster. ๐. Source: about 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
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Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
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Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
LogicMonitor - LogicMonitor is the SaaS performance monitoring platform for the world's best IT teams. Deploy Fast, Monitor More, Improve Ops.
Scale - Get human tasks done with just one line of code.
