Wittawat Jitkrittum's repositories
mlss2020-code
Code for backend processing of MLSS 2020, Tuebingen http://mlss.tuebingen.mpg.de/2020/
kernel-cgof
UAI 2020. Kernel goodness-of-fit tests for conditional density models.
i3-gnome
Use i3 with GNOME Session integration.
kernel-mod
NeurIPS 2018. Linear-time model comparison tests.
model-comparison-test
NeurIPS 2019. Kernel Stein Tests for Multiple Model Comparison.
pytorch-mdn
Mixture Density Networks for PyTorch
awesome-mlss
List of summer schools in machine learning + related fields across the globe
GAN_stability
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
igms
Implicit generative models and related stuff based on the MMD, in PyTorch
maf
Masked Autoregressive Flow
kernel-gof
NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
sab2019_learnalgo
SAB 2019 at the MPI-IS EI department. "Learning algorithms overview poster
PerceptualSimilarity
Learned Perceptual Image Patch Similarity (LPIPS) metric. In CVPR, 2018.
pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
wj-jupyter-notebook-theme
Personal theme that I use for iPython notebooks
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
interpretable-test
NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
independent-jobs
Python framework for independent computation with backends for batch clusters
mltrain-nips-2017
This repository contains all the material for the MLTrain NIPS workshop