SHeaP learns to predict head geometry (FLAME parameters) from a single image, by predicting and rendering 2D Gaussians. This repository contains code and models for the FLAME parameter inference only.

The research team defines Protenix as a comprehensive AF3 reproduction. It re-implements the AF3-style diffusion architecture for all-atom complexes and exposes it in a trainable PyTorch codebase.

Make a prediction on the Super Bowl after signing up with the Novig promo code WTOP. Register here to claim a discount in time for the Seahawks vs. Patriots. The Novig promo code unlocks a 10% ...

Kalshi and Polymarket say their prediction markets are not subject to gambling laws and taxes. The casino industry is lobbying to shut them down as a wave of court cases take on the question. By Ian ...

This project implements a machine learning system to predict microclimate conditions in greenhouse environments. The system analyzes environmental sensor data to provide accurate predictions for ...

A decades-long study suggested that close relationships with family members during teenage years could lead to a rich network of friendships in adulthood. By Emily Baumgaertner Nunn To many teens, ...

Abstract: Code-line-Ievel defect prediction (CLDP) is an effective technique to incorporate comprehensive measures for buggy line identification to optimize efforts in Software Quality Assurance ...

Abstract: The performance, resource utilization efficiency, and reliability of systems in cloud computing environments are critical for providing high-quality service. However, mainstream load ...