PyTorch

UC Berkeley Researchers Introduce the Unsupervised Reinforcement Learning Benchmark (URLB)

Reinforcement Learning (RL) is a robust AI paradigm for handling various issues, including autonomous vehicle control, digital assistants, and resource allocation, to mention a...

Researchers Develop i-Melt: A Deep Neural Network That Can Predict Glass Quality Based On Melt Composition

Glass can be found all around us. It's in our computer screens, next-generation batteries, medical implants, and even volcanoes. Glass is manufactured by melting something...

Facebook AI Introduces ‘NeuralProphet’: A Hybrid Forecasting Framework Based on PyTorch And Trained With Standard Deep Learning Methods

Meta/Facebook AI introduces 'Neural Prophet', a simple forecasting package that provides a solution to some of the most prevalent needs of customers, seeking to...

Facebook AI Releases Captum 0.4: A More Powerful Model Interpretability Library For PyTorch

Among other Machine learning (ML) techniques, deep neural networks have become crucial components for various applications, including image classification, audio recognition, and natural language...

Researchers Introduce OncoPetNet: A Deep Learning Based AI System For Mitotic Figure Counting in a Veterinary Diagnostic Lab

Artificial intelligence (AI) has transformed industries all over the world, including the healthcare sector. From fitness bracelets to glucose monitoring, modern technology allows anyone...

PyTorch Releases PyTorch Profiler v1.9 With New Features To Help Diagnose And Fix Machine Learning Performance Issues

The PyTorch Profiler v1.9 has been released. It is the newest in a series of releases meant to provide you with new tools for...

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