lgc-git's repositories
image_processing
basic inplementation of image processing algorithms, such as bilateral filter, BM3D and so on
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
Awesome-Deblurring
A curated list of resources for Image and Video Deblurring
Awesome-Fine-grained-Visual-Classification
Awesome Fine-grained Visual Classification
Awesome-Image-Distortion-Correction
A curated list of resources on handling Rolling Shutter effects and Radial Distortions
awesome-imbalanced-learning
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
Awesome-Incremental-Learning
Awesome Incremental Learning
ConvNeXt-V2
Code release for ConvNeXt V2 model
CPlusPlusThings
C++那些事
CUDA-Programming-Guide-in-Chinese
This is a Chinese translation of the CUDA programming guide
DeblurGANv2
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
GeneralizedWassersteinDiceLoss
Official implementation of the Generalized Wasserstein Dice Loss in PyTorch
kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
MIRNetv2
[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement
once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
📚 计算机经典编程书籍、大黑书、编程电子书、电子书、编程书籍，包括计算机基础、C/C++、Java、Python、面试题、架构设计、算法系列等经典电子书。
pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
RepVGG
RepVGG: Making VGG-style ConvNets Great Again
SegLoss
A collection of loss functions for medical image segmentation
SOD-CNNs-based-code-summary-
The summary of code and paper for salient object detection with deep learning
Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
ultralytics
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
voxelmorph
Unsupervised Learning for Image Registration
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite