createrfang's Stars
CompVis/stable-diffusion
A latent text-to-image diffusion model
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
CompVis/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
mdbloice/Augmentor
Image augmentation library in Python for machine learning.
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Harry24k/adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks [torchattacks]
facebookresearch/DomainBed
DomainBed is a suite to test domain generalization algorithms
google-research/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
miracleyoo/pytorch-lightning-template
An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.
gpleiss/temperature_scaling
A simple way to calibrate your neural network.
ermongroup/SDEdit
PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
davidtvs/pytorch-lr-finder
A learning rate range test implementation in PyTorch
t-vi/pytorch-tvmisc
Totally Versatile Miscellanea for Pytorch
CroitoruAlin/Diffusion-Models-in-Vision-A-Survey
This repository categorizes the papers about diffusion models applied in computer vision according to their target task. The classifcation is based on our survey: https://arxiv.org/abs/2209.04747v1
josipd/torch-two-sample
A PyTorch library for two-sample tests
lukemelas/deep-spectral-segmentation
[CVPR 2022] Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
taldatech/soft-intro-vae-pytorch
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
konosp/propensity-score-matching
amber0309/HSIC
Python code of Hilbert-Schmidt Independence Criterion
cianeastwood/qedr
Quantitative evaluation of disentangled representations
vios-s/disentanglement_tutorial
This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.
mayorx/hungarian-algorithm
(Kuhn-Munkres) numpy implementation, rectangular matrix is supported (|X| <= |Y|). 100x100000 in 0.153 s.
colinwke/dpca
density peak clustering algorithm implement by python sklearn manner
causal-machine-learning-lab/mliv
spthermo/SDNet
Spatial Decomposition Network (SDNet) for content (anatomy) and style (modality) disentanglement
vios-s/CSDisentanglement_Metrics_Library
This repository constists of the implementations of the Distance Correlation (DC) and Information Over Bias (IOB) metrics proposed in [link]. The two metrics can be used to assess the level of disentanglement between spatial content and vector style representations. Both metrics are ready to use with PyTorch and TensorFlow implementations.
sirius8050/Expected-Calibration-Error
xiat0616/pseudo-healthy-synthesis
ychika/CFR
PyTorch implementation of Balancing Neural Networks [Johansson+; ICML2016] and Counterfactual Regression [Shalit+; ICML2017].
CITCOM-project/subjectiveLogic
A small framework with code to support and Subjective Logic operations and visualise results.