jingzhengli Goto Github PK

acdne

anylabeling

Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!

awesome-graph-self-supervised-learning

Awesome Graph Self-Supervised Learning

awesome-prompt-in-context-learning

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

awesome-segment-anything

Tracking and collecting papers/projects/others related to Segment Anything.

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

blip-and-clip-interrogator

Image to prompt with BLIP and CLIP

blip-inference

Pretrained BLIP with a similar API to CLIP.

buaathesis

北航研究生学位论文模板（Word+LaTeX）.

buaathesis-1

北航毕设论文LaTeX模板

captionr

GIT/BLIP/CLIP Caption tool

clip_surgery

CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

correct_twice_at_once

[ACM MM2022] Correct Twice at Once: Learning to Correct Noisy Labels for Robust Deep Learning

docta

A Doctor for your data

face-loss-on-mnist

Face Recognition Loss on Mnist, Pytorch implementation

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

google-research

Google Research

image-captioning

Image captioning using python and BLIP

imbalance-vlm

isat_with_segment_anything

（图像分割标注工具，支持语义分割与实例分割，集成segment anything，实现快速图像分割标注）

jingzhengli.github.io

labelbee

LabelBee is an annotation Library

lfc_x

[Machine Learning 2022] Beyond confusion matrix: learning from multiple annotators with awareness of instance features

lift

[ACM MM2023] LiFT

machine_learning

mm-react

Official repo for MM-REACT

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

multi_class_uda

nacl

[Machine Learning 2023] NaCL: Noise-Robust Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation

noisy_labels