GitHub

StatsPAI: The Agent-Native Causal Inference & Econometrics Toolkit for Python

StatsPAI is the agent-native Python package for causal inference and applied econometrics. One import, 800+ functions, covering the complete empirical research workflow — from classical econometrics ...
MarketWatch

CEO Jensen Huang says 'the inflection point of inference has arrived'

Artificial intelligence has to "reason" and "think," meaning that "the inflection point of inference has arrived." "It's way past training now," he added. While Nvidia chips were once heavily used to ...
IEEE

Variational Bayesian Personalized Ranking

Abstract: Pairwise learning underpins implicit collaborative filtering, yet its effectiveness is often hindered by sparse supervision, noisy interactions, and popularity-driven exposure bias. In this ...
IEEE

Variational Bayesian inference -Based Maximum Correntropy Kalman Filtering for Visual Tracking with Unknown Process and measurement Noise

Abstract: The paper proposes a new Kalman filtering (KF) algorithm called VBI-MCKF that combines the variational Bayesian inference (VBI)-based KF algorithm and the maximum correntropy KF (MCKF) for ...
GitHub

lingkeyang/so-vits-svc-5.0

due to the use of data perturbation, it takes longer to train than other projects. Download pretrain model sovits5.0.pretrain.pth, and put it into vits_pretrain ...