Lingkai-Kong

academic-kickstart

avicenna

a minimal academic page for hugo

Calibrated-BERT-Fine-Tuning

Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data

chempropBayes

Bayesian MPNNs for Molecular Property Prediction

GraphFNP

homepage

RE-Control

SDE-Net

Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates

so-ebm

Code for paper: End-to-end Stochastic Optimization with Energy-based Model

Lingkai-Kong/SDE-Net

Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates

Lingkai-Kong/Calibrated-BERT-Fine-Tuning

Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data

Lingkai-Kong/so-ebm

Code for paper: End-to-end Stochastic Optimization with Energy-based Model

Lingkai-Kong/RE-Control

Lingkai-Kong/GraphFNP

Lingkai-Kong/academic-kickstart

Lingkai-Kong/avicenna

a minimal academic page for hugo

Lingkai-Kong/chempropBayes

Bayesian MPNNs for Molecular Property Prediction

Lingkai-Kong/homepage

Lingkai-Kong/Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Lingkai-Kong/lda-c

This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.

Lingkai-Kong/lda2vec

Lingkai-Kong/Lingkai

Lingkai-Kong/MCMC

MCMC tutorial for the Local Group Astrostatistics workshop

Lingkai-Kong/smc2017

Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala University, August 2017