BruceQFWang
Currently I am a pre-graduate student in Southeast University. My research interests include Meta-Learning, Continual Learning and Robust ML.
Nanjing
BruceQFWang's Stars
horseee/Awesome-Efficient-LLM
A curated list for Efficient Large Language Models
Taltt/FNSE-SAT
623637646/996.Leave
逃离996
greenbellpepper/GreenPepper
X-PLUG/MobileAgent
Mobile-Agent: The Powerful Mobile Device Operation Assistant Family
microsoft/promptbench
A unified evaluation framework for large language models
mnotgod96/AppAgent
AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.
kevinzakka/tsne-viz
Python Wrapper for t-SNE Visualization
jacobgil/vit-explain
Explainability for Vision Transformers
Yangzhangcst/Transformer-in-Computer-Vision
A paper list of some recent Transformer-based CV works.
JieShibo/PETL-ViT
[ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass
EliSchwartz/imagenet-sample-images
1000 images, one per image-net class. For easy visualization/exploration of classes.
The-AI-Summer/self-attention-cv
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
ArchipLab-LinfengZhang/pytorch-self-distillation-final
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
X-PLUG/mPLUG-Owl
mPLUG-Owl: The Powerful Multi-modal Large Language Model Family
visipedia/inat_comp
iNaturalist competition details
lvyilin/pytorch-fgvc-dataset
PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
BruceQFWang/learngene
sayakpaul/probing-vits
Probing the representations of Vision Transformers.
SwinTransformer/MIM-Depth-Estimation
This is an official implementation of our CVPR 2023 paper "Revealing the Dark Secrets of Masked Image Modeling" on Depth Estimation.
Bin-Huang/chatbox
User-friendly Desktop Client App for AI Models/LLMs (GPT, Claude, Gemini, Ollama...)
Anduin2017/HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
adapter-hub/adapters
A Unified Library for Parameter-Efficient and Modular Transfer Learning
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
TiankaiHang/some_scripts
arshren/Feature-Visualization
This will code will visualize filters and feature maps in a CNN
DTennant/CL-Visualizing-Feature-Transformation
Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral
PaulAlbert31/LabelNoiseCorrection
Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction
blackfeather-wang/GFNet-Pytorch
A general framework for inferring CNNs efficiently. Reduce the inference latency of MobileNet-V3 by 1.3x on an iPhone XS Max without sacrificing accuracy.