Name: Gang Li
Type: User
Company: Institute of Software Chinese Academy of Sciences
Bio: I am a PhD candidate from the University of Chinese Academy of Science (UCAS), focusing on self-supervised learning and AIGC in CV.
Location: Haidian, Beijing
Blog: https://scholar.google.com/citations?user=StWrqHIAAAAJ&hl=en
Gang Li's Projects
A project page for 3DDesigner
This is a program for algae classification using SE-Resnet50.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Awesome 3D-aware Image Synthesis – Papers, Codes and Datasets
A curated list of action recognition and related area resources
Reading list for research topics in Diffusion models.
Reading list for research topics in Masked Image Modeling
Reading list for research topics in multimodal machine learning
Reading list for research topics in Vison Transformers
JQuery multiselect plugin based on Twitter Bootstrap.
:zap: The jQuery plugin that brings select elements into the 21st century with intuitive multiselection, searching, and much more. Now with Bootstrap 4 support.
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.
Cross Relation Network for Few-shot Learning.
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
猫狗识别Resnet实现
This repository contains the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.
fcos implementation in pytorch1.x
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
FreeStyle : Free Lunch for Text-guided Style Transfer using Diffusion Models
iBOT: Image BERT Pre-Training with Online Tokenizer
Laplacian Regularized Few Shot Learning
A simple LaTeX template for Technical Reports, arXiv preprints & 2-column Conference papers
《统计学习方法》的代码实现
LSTM网络通过poem完成自动写诗
Machine learning resources