DLwbm123
Hi I am Wang Bomin, a PhD student of Fudan University,Shanghai, CHINA. Majored in Data Science.
Fudan UniversityShanghai, China
DLwbm123'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.
ChaoningZhang/MobileSAM
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
pytorch/torchtune
A Native-PyTorch Library for LLM Fine-tuning
bowang-lab/MedSAM
Segment Anything in Medical Images
EnnengYang/Awesome-Forgetting-in-Deep-Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
Wang-ML-Lab/llm-continual-learning-survey
Continual Learning of Large Language Models: A Comprehensive Survey
xmindflow/Awesome-Foundation-Models-in-Medical-Imaging
A curated list of foundation models for vision and language tasks in medical imaging
mazurowski-lab/finetune-SAM
This is an official repo for fine-tuning SAM to customized medical images.
rui-yan/SSL-FL
Self-supervised Federated Learning for Medical Imaging - IEEE TMI
mateoespinosa/cem
Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper "Learning to Receive Help: Intervention-Aware Concept Embedding Models"
team-approx-bayes/ivon
IVON optimizer for neural networks based on variational learning.
apple/ml-agm
syassami/FourierKAN-mnist
MNIST example using Kolmogorov-Arnold Networks
grypesc/SEED
ICLR2024 paper on Continual Learning
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
linhaowei1/TPL
✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
LabForComputationalVision/memorization_generalization_in_diffusion_models
Pbihao/SLM
dhanajitb/petal
Probabilistic lifElong Test-time Adaptation with seLf-training prior (PETAL)
michalzajac-ml/pec
Source code for the "Prediction Error-based Classification for Class-Incremental Learning" paper, ICLR 2024
zzzx1224/EBTSA-ICLR2023
Ludvins/Variational-LLA
Repository for Variational Linearized Laplace Approximation for Bayesian Deep Learning
SUSI-Lab/Awesome-Continual-Test-Time-Adaptation
collinskatie/cub-s
Dataset of soft labels over portion of CUB Bird Image Dataset
zwebzone/ggf
jxzhangjhu/distinction-maximization-loss
Improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.
jxzhangjhu/LDU
Latent Discriminant deterministic Uncertainty [ECCV2022]
keanson/MD-BSFC
Official code for "Accelerating Convergence in Bayesian Few-Shot Classification"
mateoespinosa/xai_practical
Code for the Explainable AI Topic in the University of Cambridge's "R255: Advanced Topics in Machine Learning" MPhil Module
nicolaNovello/discriminative-classification-fDiv