Hacker

Deep Learning CNN’s in Tensorflow with GPUs

In my last tutorial, you created a complex convolutional neural network from a pre-trained inception v3 model. In this tutorial, you’ll learn the architecture of a convolutional neural network (CNN), ...
Hacker

Build an Abstractive Text Summarizer in 94 Lines of Tensorflow !! (Tutorial 6)

This tutorial is the sixth one from a series of tutorials that would help you build an abstractive text summarizer using tensorflow , today we would build an abstractive text summarizer in tensorflow ...
IEEE

Flexible Background Modeling for Hyperspectral Anomaly Detection Using Convolutional Sparse Coding

Abstract: This paper proposes a hyperspectral (HS) anomaly detection method using a novel background model based on convolutional sparse coding (CSC). One promising HS anomaly detection approach is to ...
GitHub

Data Efficient Active Learning for Machine Learning Potentials

Reference: Perego S. & Bonati L. Data efficient machine learning potentials for modeling catalytic reactivity via active learning and enhanced sampling, npj Computational Materials 10, 291 (2024) doi: ...
GitHub

Pearl - A Production-ready Reinforcement Learning AI Agent Library

Pearl is a new production-ready Reinforcement Learning AI agent library open-sourced by the Applied Reinforcement Learning team at Meta. Furthering our efforts on open AI innovation, Pearl enables ...
C&EN

High-Resolution Hydrogen–Deuterium Protection Factors from Sparse Mass Spectrometry Data Validated by Nuclear Magnetic Resonance Measurements

School of Molecular and Cellular Biology, University of Leeds, LS2 9JT Leeds, United Kingdom ...
Frontiers

Sparse Gaussian Process Regression for Landslide Displacement Time-Series Forecasting

Landslide hazards are complex nonlinear systems with a highly dynamic nature. Accurate forecasting of landslide displacement and evolution is crucial for the prevention and mitigation of landslide ...