DP-GEN (Deep Potential GENerator) is a software written in Python, delicately designed to generate a deep learning based model of interatomic potential energy and force field. DP-GEN is dependent on ...

TorchGeo is a Python package for integrating geospatial data into the PyTorch deep learning ecosystem, making it easy for machine learning and remote sensing experts to use geospatial data in their ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Learn how to build the Adam optimizer from scratch in Python. Perfect for beginners who want to understand how modern optimizers work in deep learning. #AdamOptimizer #DeepLearning #PythonTutorial ...

Here we are sharing our code, tutorials and examples used to interpret geological structures (e.g. faults, salt bodies and horizones) in 2-D and/or 3-D seismic reflection data using deep learning. The ...

There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques, to ...

Over the past few years, data science has grown significantly to become an integral part of businesses and firms. As data science continues to grow as a field, the tools and languages used by data ...

If you want to learn the math behind data science and machine learning, 3Blue1Brown is the channel for you. Created by Grant Sanderson, 3Blue1Brown uses animation to explain complex mathematical ...

I faced a problem when I started learning programming. That problem was: I thought I needed to have a deep understanding of every field to do projects and make cool stuff. So, I started learning to ...