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.
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!
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 🙏
Autoklose automates your email tasks throughout the sales cycle. Find, target, and nurture your prospects effortlessly with the help of machine learning. Easily plan, schedule, launch email campaigns, and use detailed analytics to predict your sales.
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.
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!
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.
Runway is a machine learning tool for everyone