The simplest way to find the best AI tools!
A non-profit AI research institute focusing on AI and creativity.
AI-powered brand identity maker to create unique logos and graphic designs.
Custom AI solutions for businesses using neural networks.
Research and insights on distributed learning and neural networks by Nal Kalchbrenner, co-founder of Google Research Amsterdam.
Decentralized network for accurate and affordable language translation using AI and blockchain.
A revolutionary approach to incremental learning utilizing broad neural network expansion without deep structures.
A blog exploring AI tools for 3D design, covering technology, trends, and innovations in web development.
Practical applications of deep learning and research reports.
A research platform by Andreas Grivas focusing on neural network geometric constraints.
Design, train, and deploy neural networks effortlessly with a sleek interface.
Celebrity voice synthesis for text-to-speech applications.
A framework for optimizing deep neural network training through automatic parallelization strategies.
Creating AI technologies for businesses including voice and text assistants, neural networks, and big data analysis.
Flexible AI tool powering object recognition and customer behavior prediction, designed for various industries.
Neural network compression and acceleration services for AI applications.
A platform exploring AI and ML through experimental epistemology.
Advanced image compression using machine learning algorithms for optimal quality.
A blog dedicated to Computer Vision, 3D modeling, and AI insights.
Collection of PyTorch implementations of neural networks and algorithms with detailed annotations.
An easy-to-use AI toolkit for various detection tasks without needing deep neural network knowledge.
A framework for efficient neural network applications using stream pipelines.
A system for training and serving large-scale neural networks.
A platform for collaborative development of spatial intelligence solutions using Machine Radio Vision technology.
A high-level library for training and evaluating neural networks in PyTorch.
