Pinned Repositories
3Dsegmentation_isles2022
ABIDE_Classification_DLModel
EEG-Emotion-Classification-Machine-Learning-Models
EEG-using-deep-Learning
In this Basic Tutorial, I have used 1DCNN for EEG classification using random dataset, You can use your own dataset
EEG_Speech_Depression_MultiDL
EMIDEC-Challenge
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
FLARE_21_Segmentation_DL
HeadandNeck21_3D_Segmentation
LSTM-1DCNN-GRU-for-Depression
RespectKnowledge's Repositories
RespectKnowledge/EEG_Speech_Depression_MultiDL
RespectKnowledge/ABIDE_Classification_DLModel
RespectKnowledge/SSL_tutorial_heart
RespectKnowledge/biom3d
Easy Volumetric Segmentation with Deep Learning
RespectKnowledge/CBIM-Medical-Image-Segmentation
A PyTorch framework for medical image segmentation
RespectKnowledge/ModusGraph
RespectKnowledge/4D_dicom_nifiti_Heart
RespectKnowledge/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
RespectKnowledge/ATLAS_MICCAI_DL_Seg
RespectKnowledge/Awesome-Diffusion-Models-in-Medical-Imaging
Diffusion Models in Medical Imaging
RespectKnowledge/Awesome-Implicit-Neural-Representations-in-Medical-imaging
[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging
RespectKnowledge/Awesome-Transformer
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
RespectKnowledge/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
RespectKnowledge/CTA-Endovascular-Stroke-Therapy_challenge_DL
RespectKnowledge/DeepLearing_Edited-MRS-Reconstruction-Challenge
RespectKnowledge/GenericSSL
NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
RespectKnowledge/HeartSAX_Registration_3DDeepLearning
RespectKnowledge/Holocron
PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne)
RespectKnowledge/Hybrid_Transformer_Small-Vessel-Segmentation-at-MesoscopIc-ScaLE
RespectKnowledge/MVSEG_PWindow_Transformer
RespectKnowledge/pennylane
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
RespectKnowledge/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
RespectKnowledge/RespectKnowledge
RespectKnowledge/Segmentation_models_pytorch
RespectKnowledge/SimpleITK-Notebooks
Jupyter notebooks for learning how to use SimpleITK
RespectKnowledge/torcheeg
TorchEEG is a library built on PyTorch for EEG signal analysis.
RespectKnowledge/torchquantum
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
RespectKnowledge/TransMorph_Transformer_for_Medical_Image_Registration
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
RespectKnowledge/TriALS
nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for MICCAI 2024 segmentation challenges.
RespectKnowledge/vedo
A python module for scientific analysis of 3D data based on VTK and Numpy