Machine Learning Weekly is a newsletter with over 8,000 subscribers about machine learning and deep learning, curated in spare time by @alirezasmr to accelerate research.
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.
AI Cheatsheet is a handy tool to teach you all the key terminology and definitions in artificial intelligence. As a non-technical person in the tech space I like its simplicity and how it explains all the terms I often see floating around.
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.
Lionbridge’s 500,000+ annotators label your text, audio, image, and video data for machine learning. Using our custom-built platform, we can:🤖 Create chatbot training data🖼 Label images and video😍 Build sentiment analysis datasets👩💻 Source annotators from around the world💬 Improve machine translation
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