Alternative products to Apple Machine Learning Journal

16 alternative and related products to Apple Machine Learning Journal

Apple Machine Learning Journal

A blog written by Apple engineers

16 Alternatives to Apple Machine Learning Journal

Friendly machine learning for the web

Ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.

13 Alternatives to ML5.js

Automatically track machine learning code and experiments

Comet.ml allows machine learning teams to automatically track their machine learning code, experiments, hyperparameters and results. It works from every computer, whether it’s your laptop or a your favorite cloud provider.

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TechCrunch
Comet.ml allows data scientists and developers to easily monitor, compare and optimize their machine learning models. The New York-based company is launching its product today, after completing the TechStars-powered Amazon Alexa Accelerator program and raising a $2.3 million seed round led by Trilogy Equity partners, together with Two Sigma Ventures, Founder… See more
9 Alternatives to Comet.ml

A curated collection of machine learning projects

Every day, interesting machine learning projects get posted to GitHub, but they soon disappear into the abyss if you're not quick to bookmark them. I've created a small collection of ML projects that stood out to me from HN, reddit, and GitHub. Preference was given to open source projects witht an online demo. Let me know if I missed any!

10 Alternatives to ML Showcase

Michelangelo, is an internal ML-as-a-service platform that democratizes machine learning and makes scaling AI to meet the needs of business as easy as requesting a ride. Michelangelo enables internal teams to seamlessly build, deploy, and operate machine learning solutions at Uber’s scale.

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ComputerworldUK
Uber has developed a complex in-house tool for deploying machine learning-as-a-service, which it calls Michelangelo. In a lengthy blog entry on the Uber Engineering site posted last week, Jeremy Hermann, head of machine learning platform, and Mike Del Balso, a product manager for machine learning at Uber, describe Michelangelo as: "An internal ML-as-a-servic… See more
TechLeer
Uber is increasingly investing in the latest technologies like artificial intelligence, virtual reality, and machine learning. Michelangelo is an internal machine learning as an as a service platform which enhances machine learning technology and makes scaling artificial intelligence to meet the future needs of growing market.
4 Alternatives to Michelangelo, by Uber

A curated list of AI, Machine Learning & Blockchain events 🌍

We gathered 360 AI, ML, Blockchain conferences worldwide into a single list - the largest one you can find online. Enjoy 🙏

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A Digital Scrum Master at Work
January February March 5-6 Mar, European Artificial Intelligence Innovation Summit. London, UK. 5-8 Mar,🎓 HRI 2018. Chicago, 5-8 Mar, O'Reilly Strata Data Conference. San Jose, 5-8 Mar, Gartner Data & Analytics Summit. Grapevine, 7-8 Mar, Big Data & Analytics Innovation Summit. Singapore. 7-8 Mar, AI and Sentiment Analysis in Finance.
A Digital Scrum Master at Work
A list of blockchain, bitcoin and ICO conferences in 2018. 120 events have been found so far.
15 Alternatives to 250 Machine Learning Conferences of 2018

Mobile machine learning made easy

Fritz makes it easy to build these experiences with an end-to-end mobile ML platform. Get started at https://fritz.ai

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TechCrunch
It's one thing to run machine learning models in the cloud, where you have plenty of resources. On mobile devices, you're dealing with very finite compute resources, so if you want to run your models directly on the devices, they have to be highly optimized. Add to that that Apple and G...
9 Alternatives to Fritz

Prodigy is a new annotation tool for creating training and evaluation data for machine learning models. It comes with an extensible, self-hosted back-end, active learning-powered models that update as you annotate, and a modern web application that helps you stay focused.

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Ines Montani
Ines Montani- Founder @explosion_ai
@honnibal and I built Prodigy to help data scientists create labelled data for machine learning models faster. Bootstrapping let us build a product that AI developers love, but investors would have been unable to fund. There's no lock-in, and no repeat revenue – you just buy a license and use the software ✨
8 Alternatives to Prodigy

Curated Machine Learning models to ⚡supercharge⚡your product

ModelDepot is aiming to make advancements in machine learning more accessible to engineers.

Effortlessly find and use curated pre-trained models to build better products that are augmented by cutting edge strides in the field.

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Medium
In traditional supervised machine learning, we teach a model to become more successful and efficient at a task, by providing it with example data. Generally, once the model begins to perform well on the training data for the domain or problem it is tasked with, we expect a reasonable performance for new data.
Medium
We previously talked about how Transfer Learning will radically change ML. People seemed to love it, so we thought we'd follow up with some thoughts on democratizing AI and Software 2.0. Machine Learning has had significant impact on the technology industry in the past few years, but many engineers still view it as little more than a highly specialized tool … See more
9 Alternatives to ModelDepot

IBM Watson now integrates directly into Apple's ML Core, so developers can build AI-powered apps to help improve every part of your life. 🤖

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9to5Mac
Apple and IBM have announced an exciting expansion of the partnership started back in 2014 to bring enterprise apps to iOS devices. The latest step is designed to combine IBM's powerful Watson AI system with Apple's Core ML framework to create the smartest mobile apps yet developed.
Forbes
Apple and IBM revealed an enhancement to their existing collaboration at the Think 2018 conference with Watson Services for Core ML and the newly designed IBM Cloud Developer Console for Apple. The offering marries Apple's Core ML tools for developers with IBM's Watson to make it easier for companies to add artificial intelligence into mobile applications.
9 Alternatives to IBM Watson for CoreML

Real-time Shake Shack line counter using machine learning

Count is a machine learning company looking to quantify the organic data inside photos, video, and sound. Anybody that has lived in Manhattan understands the dynamics of the Shake Shack line in Madison Square Park. We thought it would be fun to practice our craft quantifying the Shake Shack line in real-time as our first experiment.

8 Alternatives to Count

Building AI products on AWS SageMaker made simple

Sagify is a command-line utility to train and deploy Machine Learning and Deep Learning models on AWS SageMaker in a few simple steps!

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Medium
As a Data Scientist or Machine Learning engineer, I'm sure you have faced the following situation: you are working on a Machine Learning or Deep Learning project, and you need to train and deploy your models in production.
Product Hunt
How did you get into tech? Thelxi: My first computer was an Amstrad CPC. I then studied a BSc and MSc in Computer Engineering, followed by a PDEng in User System Interaction. Alex: I got into tech about 7 years ago, thanks to my flatmates.
10 Alternatives to Sagify

A dashboard that makes ML as easy as point and click.

Introducing a new way to interact with machine learning. Our brand new interactive dashboard makes our three step approach to ML even simpler. Just upload your data, build a model, and retrieve your results.

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This Week in Machine Learning & AI
This week, we'll be featuring a series of shows recorded from Strange Loop, a great developer-focused conference that takes place every year right in my backyard! The conference is a multi-disciplinary melting pot of developers and thinkers across a variety of fields, and we're happy to be able to bring a bit of it to those of you who couldn't make it in per… See more
Fast Company
In his new book, Unleashing the Innovators, Jim Stengel, former global marketing officer at Procter & Gamble, studied some 200 "odd couple" partnerships between established companies and tech-focused upstarts. Here's how the arrangement helped three veteran brands rediscover their vitality.
The Tech Tribune
The Tech Tribune staff has compiled the very best tech startups in Columbus, Ohio. In doing our research, we considered several factors including but not limited to: Revenue potential Leadership team Brand/product traction Competitive landscape Additionally, all companies must be independent (un-ac...
ProgrammableWeb
This article is part of a multi-part series about interesting APIs that were added to our directory during 2017. Big Data and Data Analytics APIs are covered in this segment. The APIs were chosen by our researchers, by popularity according to website traffic, and by mentions on social media.
8 Alternatives to Nexosis Interactive Dashboard

Build Machine Learning models without a single line of code

Mate Labs is trying to enable Machine Learning and Deep Learning to one and all. Irrespective of whether a user knows how to code or not.

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TechCrunch
If you've ever wanted to train a machine learning model and integrate it with IFTTT, you now can with a new offering from MateLabs. MateVerse, a platform where novices can spin out machine learning models, now works with IFTTT so that you can automatically set up models to run based on condit...
6 Alternatives to Mateverse by Mate Labs
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