Skk-T's starred repositories
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, ... 🧠
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
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
mmpretrain
OpenMMLab Pre-training Toolbox and Benchmark
keras-applications
Reference implementations of popular deep learning models.
Basic_CNNs_TensorFlow2
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
objectDetectionDatasets
目标检测数据集制作:VOC,COCO,YOLO等常用数据集格式的制作和互相转换脚本
tensorflow-YOLO1
目标检测yolo算法,采用tensorflow框架编写,中文注释完全,含测试和训练,支持摄像头
Pytorch-Base-Trainer
Pytorch分布式训练框架
Garbage-Classification
基于 Pytorch 的垃圾识别与分类。本项目源于浙江大学光电学院课程设计。(程序仅供参考,很久没关注这方面内容了,为避免误导,相关问题不作回答)
Waste-or-Garbage-Classification-Using-Deep-Learning
This model is created using pre-trained CNN architecture (VGG16 and RESNET50) via Transfer Learning that classifies the Waste or Garbage material (class labels =7) for recycling.
GoogleNet-BN
GoogleNet-BN,namely InceptionNetV2 based on pytorch.
cnn-trash-classification
基于卷积神经网络的垃圾分类应用
RubbishClassify
对比alexnet,googlenet,vgg,resnet在垃圾分类训练集的表现
rubbish-classify
用预训练模型VGG16 实现垃圾分类
smart_trash_can
检测靠近时,垃圾桶自动开盖并伴随滴一声,2秒后关盖 发生震动时,垃圾桶自动开盖并伴随滴一声,2秒后关盖 按下按键时,垃圾桶自动开盖并伴随滴一声,2秒后关盖