lingkai-kong Goto Github PK

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

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.

lda-c

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

lda2vec

lingkai

mcmc

MCMC tutorial for the Local Group Astrostatistics workshop

sde-net

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

smc2017

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

so-ebm

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