Kevel
AdSense
Google Ad Manager
Broadstreet Ads
Epom
OpenX
WPMU DEV
AdButler
Activeloop
Iterative.ai
Pachyderm
Scale
DoltHub
Snowflakepowe.red
Kevel's APIs make it easy for engineers and PMs to build their own server-side, fully-customized ad server. Top e-retailers and user communities use Kevel to build innovative ad servers to promote anything from native ads to internal content to sponsored listings.
Engineers reliably see a 90%+ reduction in dev time using Kevel's APIs versus doing it entirely from scratch. Kevel's customer list includes Fortune 500 brands, public companies, and unicorn startups, including Klarna, Yelp, Edmunds, Bed Bath & Beyond, Ticketmaster, Wattpad, imgur, Strava, and many more.
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:
Kevel ActiveloopNo features have been listed yet.
Based on our record, Activeloop seems to be more popular. 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.
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
AdSense - Earn money with website monetization from Google AdSense. We'll optimize your ad sizes to give them more chance to be seen and clicked.
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Google Ad Manager - Grow revenue wherever your users are with an integrated ad management platform that surfaces insights for smarter business decisions.
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
Broadstreet Ads - Broadstreet is the premier ad management platform for news publishers, trade magazines, radio...
Scale - Get human tasks done with just one line of code.
