Qwilr
PandaDoc
Proposify
GetAccept
Conga Contracts
DocuSign
Conga Document Generation
QuoteWerks
Apple Machine Learning Journal
Amazon Machine Learning
Machine Learning Playground
Lobe
A.I. Experiments by Google
ML5.js
mlblocks
ML Showcase
Our aim is to make it as easy as possible for businesses to create epic documents that they can use internally, with their clients and share online. Our templates are not only professional & interactive, but are created as an individual web page that allows for easy shareability & data measuring.
Qwilr Apple Machine Learning JournalNo Apple Machine Learning Journal videos yet. You could help us improve this page by suggesting one.
Based on our record, Apple Machine Learning Journal should be more popular than Qwilr. It has been mentiond 6 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.
Can you tell me more about it? Is it any different from https://qwilr.com or pandadoc.com or is a direct competitor to those. Source: over 2 years ago
When we initially researched, we did them independently. For RFP software, we wanted something to help with tracking, analyzing, generating proposals, AI answer suggestion/knowledge base, assigning related tasks etc. Avnio & RFPIO made our shortlist. For Quote software, we wanted something shiny, to make closing faster and easier to understand. Qwilr and PandaDocs were rated pretty high. Source: about 3 years ago
For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
PandaDoc - Boost your revenue with PandaDoc. A document automation tool that delivers higher close rates and shorter sales cycles. We've helped over 30,000+ companies.
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Proposify - A simpler way to deliver winning proposals to clients.
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
GetAccept - GetAccept is a Sales tool for electronic signatures and sales document automation.
Lobe - Visual tool for building custom deep learning models