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.
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.
Spell is The most flexible and powerful end-to-end platform for ML and deep learning engineering.
Best of Machine Learning is a collection of helpful resources when it comes to learning and staying updated on all things related to Machine Learning. The open-source project is open for Pull Requests and was recently featured on the HackerNews frontpage.
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.
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!
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.
The mission of Papers With Code is to create a free and open resource with Machine Learning papers, code and evaluation tables.
We believe this is best done together with the community and powered by automation.
We gathered 360 AI, ML, Blockchain conferences worldwide into a single list - the largest one you can find online. Enjoy 🙏
Fritz makes it easy to build these experiences with an end-to-end mobile ML platform. Get started at https://fritz.ai
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.
Nexosis provides a public API which allows developers to quickly add machine learning to applications.
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.
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
Web Maker 3.0 is your favourite fast & offline web playground, now as a web app.
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.
Sagify is a command-line utility to train and deploy Machine Learning and Deep Learning models on AWS SageMaker in a few simple steps!
Agenty is a SaaS platform with easy-to-use automated cloud-based agents for data scraping, text extraction, text classification, OCR, categorization, change tracking and more with no coding required!
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.