Alternative products to Machine Learning Playground

25 alternative and related products to Machine Learning Playground

Machine Learning Playground
Breathtaking visuals for learning ML techniques.

A demo inspired by the Tensorflow playground, but a bit broader in depth and with more customization.

Believe it or not, there was a period of time where not everything in Machine Learning was Deep Learning - and this site covers a good amount of traditional methods that are still quite relevant today.

Feedback is welcome!

25 Alternatives to Machine Learning Playground

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.

16 Alternatives to ML5.js

Label data for machine learning with ease

Handl is a tool to label and manage data for machine learning. You can use the qualified crowd onboard or bring your team. Whatever you have, images, texts or sounds, we have a complete set of tools to do the job.

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vc.ru
Компания Dbrain запустила Handl - сервис разметки данных для машинного обучения. Здесь уже зарегистрированы 25 тысяч человек, которые помогают размечать данные для технологических компаний и получают за это деньги. Сегодня Handl официально запускается после успешного Альфа-тестирования, и теперь любой может присоединиться к проекту.
5 Alternatives to Handl

Deep Learning and AI accessible to everyone

Spell is The most flexible and powerful end-to-end platform for ML and deep learning engineering.

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TechCrunch
In 2016, Serkan Piantino packed up his desk at Facebook with hopes to move on to something new. The former Director of Engineering for Faceboook AI Research had every intention to keep working on AI, but quickly realized a huge issue. Unless you're under the umbrella of one of these big tech ...
11 Alternatives to Spell

Train Neural Networks without a line of code

MakeML is an easy to use MacOS app for iOS devs, who want to try out machine learning in their apps. The app is made in a way that no Python development nor data scientist background are needed. There are 2 model types available for training: Object Detection and Style Transfer.

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Heartbeat
Before we jump in, a few words about MakeML. The app runs on macOS 10.14+. It helps you to create object detection Core ML Models without writing a line of code. The app manages Python dependencies, data preparation, and visualizes the training process.
4 Alternatives to MakeML

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!

11 Alternatives to ML Showcase

Intersect Labs enables anyone to build and deploy machine learning models in 3 clicks, from any spreadsheet or database. Companies can make accurate predictions without bringing in a data scientist or ML engineer.

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TechCrunch
Machine learning is the holy grail of data analysis, but unfortunately, that holy grail oftentimes requires a PhD in Computer Science just to get started. Despite the incredible attention that machine learning and artificial intelligence get from the press, the reality is that there is a massive ga...
6 Alternatives to Intersect Labs

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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Standuply
We collected 130 the best ice breaker questions for teams. Use them to get to know your co-workers better. Included: infographic with 20 most useful questions.
A Digital Scrum Master at Work
A list of blockchain, bitcoin and ICO conferences in 2018. 120 events have been found so far.
17 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

A no-code Machine Learning solution. Made by teenagers.

As students in high school, we realised that even though it is amazing, machine learning is really difficult to implement into projects.

To remove the hassle we faced ourselves, we created MLBlocks.

-Train models with only 50 images per class

-Create them without expensive GPUs

-Deploy on any platform through our API

-NO CODE REQUIRED

15 Alternatives to mlblocks

First ever offline web playground, now as a Web app!

Web Maker 3.0 is your favourite fast & offline web playground, now as a web app.

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Medium
After working for months, 164 commits later, I am really excited to bring to you - Web Maker 3.0! 😍 Without much delay, let me take you right inside what exactly is Web Maker 3.0. The Web isn't just Chrome and so is not Web Maker, anymore.
9 Alternatives to Web Maker 3.0

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
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