There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Video_Classification_ResNet3D_Pytorch
Using ResNet3D to train on Kinetics form scratch or fine-tune on UCF-101(or others) with Kinetics pretrained model.Video_Classification_ResNet3D_R2plus1D_ip-CSN_train-UCF101-HMDB51-Kinetics400-from-scratch
Using ResNet3D-50,R(2+1)D-50, and ip_CSN-50 to train UCD-101,HMDB-51 and Kinetics-400 from scratch.Knowledge_Base
collect some questions in AI interview, include mathematics, computer algorithm, dl or ml model and so onffmpeg
Just for learning ffmpegclassification_of_ImageNet_Resnet_Pytorch
classify the imagenet using resnet model in pytorchRecognizing-Image-Style
Recognizing Image Style with Resnet or other model in pytorchmultiple_label_classification
multiple label classification with MobileNetV2, ShuffleNetV2 and GhostNetLearn_GhostNet_pytorch
This repository is created for learning the GhostNet paper and code, the code copy from "https://github.com/iamhankai/ghostnet.pytorch"Pedestrian_Attribute_Recognition
Recognizing pedestrian attributes on RAP(V2) via pytorch, copy from 'https://github.com/dangweili/pedestrian-attribute-recognition-pytorch' ,annotate the code and the learn modelTraining_model_with_Data_Parallelism
Introduce several ways of data parallelism training, train model on one machine and seven GPUs.Love Open Source and this site? Check out how you can help us