clxia12's repositories
tiangong-Image-Classifacation
天宫一号图像分类比赛线上B榜第一
AdaptFormer
[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
anylabeling
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
clxia12
Config files for my GitHub profile.
ConvNeXt
Code release for ConvNeXt model
Cream
This is a collection of our NAS and Vision Transformer work.
fiftyone
The open-source tool for building high-quality datasets and computer vision models
LWM
Unofficial implementation of inference and training for mobilenetv1, mobilenetV2, mobilenetv3, shuffllenet, shuffllenetv2, ghostnet, and repghost, etc.
nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
pre_data
here are some code for preprocessing data before you start to train a model
pytorch-cifar
95.47% on CIFAR10 with PyTorch
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)
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
ViT-CoMer
Official implementation of the CVPR 2024 paper ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions.