A deep learning pipeline for de novo molecular generation using LSTM and reinforcement learning (REINFORCE), with support for fragment-based control and automated molecule evaluation. This project ...

Abstract: Computational notebooks are intended to prioritize the needs of scientists, but little is known about how scientists interact with notebooks, what requirements drive scientists' software ...

This project focuses on predicting house prices using the Ames Housing dataset. It demonstrates an end-to-end Machine Learning workflow including preprocessing, feature engineering, model training,… ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. With the rapid growth of artificial intelligence and machine learning across ...

This workshop is aimed at country officials from national statistics offices (NSOs) and central banks who are seeking to acquire the knowledge and skills necessary to leverage Big Data and advanced ...

This article is part of VentureBeat’s special issue, “The Real Cost of AI: Performance, Efficiency and ROI at Scale.” Read more from this special issue. Presented by AMD The era of the “AI ...

Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...

ASUS, a global leader in technology and innovation, has been recognized as the No.1 Consumer Notebook Company in Sri Lanka by the International Data Corporation (IDC) Quarterly Tracker. Following ...

Abstract: Open-science collaboration using Jupyter Notebooks may expose expensively trained AI models, high-performance computing resources, and training data to security vulnerabilities, such as ...

Overview The Jupyter notebook system gives Python users a visual, interactive way to run code, display the results, and share the source with others. But Jupyter notebooks have limited interactivity.