Wittawat Jitkrittum

kernel-gof. NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.

interpretable-test. NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

cadgan. ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

jtcc. Java library to tokenize Thai text into a list of TCCs

fsic-test. ICML 2017. Kernel-based adaptive linear-time independence test.

kernel-mod. NeurIPS 2018. Linear-time model comparison tests.

kernel-ep. UAI 2015. Kernel-based just-in-time learning for expectation propagation

kernel-cgof. UAI 2020. Kernel goodness-of-fit tests for conditional density models.

k2abc. AISTATS 2016. K2-ABC: Approximate Bayesian Computation with Kernel Embeddings.

l1lsmi. squared-loss mutual information based feature selection

smir. ICML 2013. Semi-supervised classifier with squared-loss mutual information regularization

ctwt. Classifier-based Thai Word Tokenizer

ucl-lyx-thesis. PhD thesis template in Lyx for UCL students

GAN_stability. Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

awesome-public-datasets. An awesome list of high-quality open datasets in public domains (on-going).

lyx2web. Script to convert Lyx files into blog posts

model-comparison-test. NeurIPS 2019. Kernel Stein Tests for Multiple Model Comparison.

cmdprod. Automatically generate command-line arguments for parameter sweeping

mlss2020-code. Code for backend processing of MLSS 2020, Tuebingen http://mlss.tuebingen.mpg.de/2020/

awesome-mlss. List of summer schools in machine learning + related fields across the globe

test-sphinx.

configs. my Linux configuration files

ipynb. Collection of IPython notebooks mostly for experimenting with libraries/data.

PyTorch-GAN. PyTorch implementations of Generative Adversarial Networks.

.vim. My .vim folder