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Numenta.org Platform for Intelligent Computing The mission of this project is to build and support a community interested in machine learning and machine intelligence based on modeling the neocortex and the principles upon which it works.

"Search 575918 machine learning experiments on 88 datasets and 271 implementations"

"TensorFlow is an Open Source Software Library for Machine Intelligence"

"Collection of Interactive Machine Learning Examples We call them "seeds". Each seed is a machine learning example you can start playing with. Explore, learn and grow them into whatever you like. Powered by CoLab"

"AMI is a program that brings together artists and engineers to realize projects using Machine Intelligence. Works are developed together alongside artists' current practices and shown at galleries, biennials, festivals, or online. By creating a platform for this emerging form of art-making, we hope to open both our research and the public conversation to new ways of thinking about intelligent systems."

"TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally devel"

fast drawing for everyone.

"Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models."

"TensorFlow Quantum is a library for hybrid quantum-classical machine learning. # A hybrid quantum-classical model. model = tf.keras.Sequential([     # Quantum circuit data comes in inside of tensors.     tf.keras.Input(shape=(), dtype=tf.dtypes.string),     # Parametrized Quantum Circuit (PQC) provides output     # data from the input circuits run on a quantum computer.   TensorFlow Quantum (TFQ) is a quantum machine learning library for rapid prototyping of hybrid quantum-classical ML models. Research in quantum algorithms and applications can leverage Google's quantum computing frameworks, all from within TensorFlow."