thjashin's Stars
ManimCommunity/manim
A community-maintained Python framework for creating mathematical animations.
yuchenlin/rebiber
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
r-lib/devtools
Tools to make an R developer's life easier
rstudio/tensorflow
TensorFlow for R
getkeops/keops
KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
awslabs/fortuna
A Library for Uncertainty Quantification.
basveeling/pcam
The PatchCamelyon (PCam) deep learning classification benchmark.
facebookresearch/CPC_audio
An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.
jxx123/simglucose
A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose
thjashin/multires-conv
Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
mgorinova/SlicStan
A Stan-like probabilistic programming language.
j-wilson/GPflowSampling
Code for efficiently sampling functions from GP(flow) posteriors
miskcoo/kscore
Nonparametric Score Estimators, ICML 2020
modestyachts/neural_kernels_code
treforevans/uci_datasets
Regression datasets from the UCI repository with standardized test-train splits.
selective-inference/R-software
R software for selective inference
thjashin/spectral-stein-grad
Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)
thuwzy/ZhuSuan-PyTorch
An Elegant Library for Bayesian Deep Learning in PyTorch
lxuechen/ml-swissknife
An ML research codebase built with friends :)
thjashin/rodeo
Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)
jonathan-taylor/selective-inference
Software for selective inference
thudzj/NeuralEigenFunction
wfithian/optimal-inference
repo for "Optimal Inference After Model Selection"
ssydasheng/Harmonic-Kernel-Decomposition
The official code for the Harmonic variational Gaussian processes (ICML2021).
KeAWang/differentiable_t1d
Differentiable simulators for Type 1 Diabetes research in Jax and PyTorch
thjashin/mirror-stein-samplers
Sampling with Mirrored Stein Operators
AntixK/Spectral-Stein-Gradient
PyTorch Implementation of the Spectral Stein Gradient Estimator
thjashin/double-cv
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
tpielok/SSGE.JL
Spectral Stein Gradient Estimator
ime-luebeck/non-stationary-phase-gp-mod