zwanah
MSc student for Data-Driven Modeling in HKUST
The Hong Kong University of Science and TechnologyHong Kong
zwanah's Stars
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
andreas128/RePaint
Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022
yfzhang114/Generalization-Causality
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
sicara/easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
xlang-ai/UnifiedSKG
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
JJGO/UniverSeg
UniverSeg: Universal Medical Image Segmentation
LeapLabTHU/FLatten-Transformer
Official repository of FLatten Transformer (ICCV2023)
Shivanandroy/simpleT5
simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.
dvlab-research/Parametric-Contrastive-Learning
Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
xuuuuuuchen/Active-Contour-Loss
Implementation of active contour loss function
Imbalance-VLM/Imbalance-VLM
LalehSeyyed/CheXclusion
Code for the paper https://arxiv.org/abs/2003.00827
scikit-mobility/DeepGravity
a PyTorch implementation of the paper "Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information"
Qsingle/LearnablePromptSAM
Try to use the SAM-ViT as the backbone to create the learnable prompt for semantic segmentation
HiLab-git/ACELoss
Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"
ys-zong/MEDFAIR
[ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
pcyin/pytorch_neural_symbolic_machines
A PyTorch Implementation of Neural Symbolic Machines by Liang et al. (2018)
ecreager/eiil
Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
joshr17/IFM
Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.
bispl-kaist/DARL
Official repository of "Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation", ICLR 2023.
VITA-Group/LongTailCXR
[DALI 2022] "Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study" by Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, Ronald M. Summers, Yifan Peng, and Zhangyang Wang
bluecdm/Long-tailed-recognition
XuZhengzhuo/Prior-LT
Implement Code for UniMix and Bayias Compensated Loss
shengliu66/LC
Official Implementation of Avoiding spurious correlations via logit correction
zzhenggit/graph_cuts_loss
code for ICCVW paper 'Graph Cuts Loss to Boost Model Accuracy and Generalizability for Medical Image Segmentation'.
tsinghua-fib-lab/SIRI
The official PyTorch implementation of "Causal Learning Empowered OD Prediction for Urban Planning" (CIKM 2022).
ericzhao28/multidistributionlearning
Official implementation of On-Demand Sampling: Learning Optimally from Multiple Distributions (Neurips 2022)
LalehSeyyed/Underdiagnosis_NatMed
amazon-science/lc-loss
PiotrNewt/verd
A fancy idea and experimental verification on crowdsourced-based entity resolution