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Auto-Sklearn
Auto-sklearn frees a machine learning user from algorithm selection and hyperparameter tuning. It leverages recent advantages in Bayesian optimization, meta-learning and ensemble construction. Auto-sklean is…
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AutoML-Zero
AutoML-Zero, resembles the process of evolution, with code improving every generation with little human interaction.Machine learning tools are “trained” to find patterns in vast amounts…
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AutoML
AutoML is a tool from Google that automates the process of developing machine learning algorithms for various tasks. It’s user-friendly, fairly simple to use, and…
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AutoKeras
AutoKeras – automatic machine learning system, based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to…
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IBM Q Experience Strives To Bring Quantum Computing To Masses
IBM Q Experience – online platform that gives users in the general public access to a set of IBM’s prototype quantum processors via the Cloud,…
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Build quantum software with Qisqit and IBM Q
Qiskit – open-source framework for quantum computing. It provides tools for creating and manipulating quantum programs. Qisqit runs them on prototype quantum devices on IBM…
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PyTorch Release
Facebook’s PyTorch is one of the most popular deep learning frameworks in the world, and today it’s getting new libraries and bigupdates, including TorchServe, a…
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SEED RL
SEED RL – tool that scales to thousands of machines, which enables training at millions of frames per second, and significantly improves computational efficiency and…
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TensorFlow DynamicEmbedding
DynamicEmbedding, which extends Google’s TensorFlow machine learning framework, allows AI models to have significant accuracy gains over the course of two years, demonstrating that they…
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PyTorch3D
PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. Within FAIR, PyTorch3D has been used to power research projects such as Mesh…