3d-cnn-model

There are 0 repository under 3d-cnn-model topic.

• WAMAWAMA / WAMA_Modules

  A PyTorch Computer Vision (CV) module library for building n-D networks flexibly ~

  imagemedical-image-analysispretrained-modelspytorchvideo3d-cnn-model3d-densenet3d-models3d-resnetattention-mechanismtransformer3d-vgg
  Language:Python 502

• TomStog / Infrared-SpO2

  The dataset used for the "A non-contact SpO2 estimation using video magnification and infrared data" publication

  datasetspo23d-cnn-modelcnncnn-regressioneulerian-video-magnificationgeneralized-additive-modelsinfraredinfrared-imageslinear-regressionvideo-magnificationcontactlesspythonvideotransformervivitphotoplethysmographymultisource-data
  Language:Python 9

• meghana-kshirsagar / 3DCNN_protein_structures

  3D CNN for protein structures

  3d-cnn3d-cnn-model3d-convolutional-networkproteinprotein-structure
  Language:Jupyter Notebook 6

• dinaYriad / Action-Recognition

  This project involves the identification of different actions from video clips where the action may or may not be performed throughout the entire duration of the video. This is done using two CNN models which are 3D-CNN and LSTM models.

  3d-cnn-modellstm-modelaction-recognitionvideo-action-recognition
  Language:Jupyter Notebook 5

• Monesh-97 / Multi-Label-Prediction-For-videos-using-Zero_Shot_Learning

  Multi-Label-Prediction-For-videos-using-Zero_Shot_Learning

  computer-visionzero-shot-learningucf101-dataset3d-cnn-modeltensorboard-projector
  Language:Jupyter Notebook 1

• srija-cell / MODELLING-MORPHOGENESIS-IN-3D-NEURAL-CELLULAR-AUTOMATA

  The objectives of this project are: Developing an extension of the methodology described in the paper “Growing Neural Cellular Automata” to facilitate complex structure generation in three dimensions and to simulate the growth of multicellular structure starting from a single cell.

  3d-cnn-modelcellular-automatavoxels
  Language:Python 1

• vishal815 / Deep-Learning-Models-for-3D-MRI-based-Brain-Tumor-Segmentation-using-Seg-Net-V--Net-and-U-Net

  This project focuses on the segmentation of brain tumors in 3D MRI images using Convolutional Neural Network (CNN) models. The research compares the performance of SegNet, V-Net, and U-Net architectures for brain tumor segmentation and evaluates them based on complexity, training time, and segmentation accuracy.

  3d-cnn-model3d-segmentation4d-databasecapstone-projectcnndeep-learningend-to-endimage-segmentationnoveltensorflow-kerasu-netv-netvishal-lazrusvishallazrusseg-net
  Language:Jupyter Notebook 1

• damianpolakpjwstk / pseudo3d_pytorch

  Pseudo-3D CNN networks in PyTorch.

  3d-cnn3d-cnn-model3d-computer-vision3d-convolutional-networkattention-modelsmri-classificationpytorchresnetvideo-classification
  Language:Python 0
• DepthGestureRecognition

  ikathuria / DepthGestureRecognition

  A motion gesture detection and recognition model with depth estimation made with a 3D-CNN using the 20bnJester dataset.

  pythongesture-recognition3d-cnn-model
  Language:Jupyter Notebook 0