bAi-dUe's Stars
starmemda/MlTr
bAi-dUe/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
bAi-dUe/Visualize-feature-maps-and-heatmap
可视化特征图教程
kazuto1011/grad-cam-pytorch
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
IBM/concept_transformer
Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"
SHI-Labs/Neighborhood-Attention-Transformer
Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022
zhoubolei/CAM
Class Activation Mapping
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
salesforce/BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
tianshuichen/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
tianshuichen/2021-CV-Surveys
2021 年,计算机视觉相关综述。包括目标检测、跟踪........
naver-ai/relabel_imagenet
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
bojone/bert4keras
keras implement of transformers for humans
UCSC-REAL/cifar-10-100n
Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.
HCPLab-SYSU/SSGRL
HCPLab-SYSU/HCP-MLR-PL
Multi-label Image Recognition with Partial Labels (IJCV'24, ESWA'24, AAAI'22)
mapillary/inplace_abn
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Alibaba-MIIL/ASL
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
CV-Tech-Guide/Visualize-feature-maps-and-heatmap
可视化特征图教程
MCLAB-OCR/KnowledgeMiningWithSceneText
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
htdt/hyp_metric
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository
megvii-research/ML-GCN
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
facebookresearch/poincare-embeddings
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
HazyResearch/hgcn
Hyperbolic Graph Convolutional Networks in PyTorch.