GitHub

DeepEcon：Your one-stop Python package for econometric algorithms

If you need support for a new econometric algorithm or have an idea for an implementation, please submit your request via GitHub Issues. After evaluation, we'll add it to our DEVPLAN for future ...
GitHub

Temporal Attention, Multi-Resolution Fusion of Satellite Image Time-Series

This repository holds the model and training scripts related to Temporal Attention, Multi-Resolution Fusion (TAMRF) of Satellite Image Time-Series . A complete and generic formulation of the SITS ...
IEEE

Exploration of Stacking Ensemble Learner (SEL) Modeling with XGBoost and SVM algorithms on ...

Abstract: The fluctuating characteristics of stock prices indicate high stock market volatility. Therefore, a method is needed that can overcome these problems by providing more accurate predictions ...
Hacker

Comparing One-vs-Rest and One-vs-One Training in Hyperbolic SVM

Amplifying words and ideas to separate the ordinary from the extraordinary, making the mundane majestic. Amplifying words and ideas to separate the ordinary from the ...
IEEE

Optimising Neural Networks with Fine-Grained Forward-Forward Algorithm: A Novel ...

Abstract: This paper introduces the Fine-Grained Forward-Forward Algorithm (FGFF), a novel backpropagation-free network training methodology that builds upon the foundational Forward-Forward algorithm ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
MIT Technology Review

LLMs contain a LOT of parameters. But what’s a parameter?

They’re the mysterious numbers that make your favorite AI models tick. What are they and what do they do? MIT Technology Review Explains: Let our writers untangle the complex, messy world of ...