chunlinli
Assistant Professor@ISU: causal learning & applied statistics & statistical computing
Department of Statistics, Iowa State UniversityAmes, Iowa, USA
chunlinli's Stars
lllyasviel/ControlNet
Let us control diffusion models!
ivy-llc/ivy
Convert Machine Learning Code Between Frameworks
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
bentrevett/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
facebookresearch/PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data.
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
janosh/awesome-normalizing-flows
Awesome resources on normalizing flows.
DeepGraphLearning/graphvite
GraphVite: A General and High-performance Graph Embedding System
qpsolvers/qpsolvers
Quadratic programming solvers in Python with a unified API
LeoGrin/tabular-benchmark
yandex-research/tab-ddpm
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
yzhao062/awesome-ensemble-learning
Ensemble learning related books, papers, videos, and toolboxes
GenomicSEM/GenomicSEM
R-package for structural equation modeling based on GWAS summary data
mathurinm/celer
Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
HennyJie/BrainGB
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
sunlin-ai/diffusion_tutorial
diffusion generative model
google-research/smore
pbreheny/biglasso
biglasso: Extending Lasso Model Fitting to Big Data in R
jaredhuling/oem
Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm
stoat-proj/SToAT
SToAT: Open Statistical Toolkits
softmin/ReHLine-python
Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
statmlben/nonlinear-causal
nl-causal: nonlinear causal inference based on IV regression in Python
statmlben/dnn-locate
dnn-locate is a python module for discriminative features localization based on neural networks.
austindavidbrown/lower-bounds-for-Metropolis-Hastings
A Python implementation to estimate lower bounds on the geometric convergence rate for RWM Metropolis-Hastings from the pre-print https://arxiv.org/abs/2212.05955.
chunlinli/grivet
Graphical Instrumental Variable Estimation and Testing
RuoyuHe/DeLIVR
achambaz/mediation.test
ajmolstad/CompositionalCovariance
Repository for code from "Direct covariance matrix estimation with compositional data"
rzhou14/freebird