ehsan5z

Detection-of-Neurovascularization-from-Retinal-Images

awesome-collision-detection

:sunglasses: A curated list of awesome collision detection libraries and resources

awesome-robotics

A list of awesome Robotics resources

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

EndoscopyDepthEstimation-Pytorch

Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)

Segment-and-Track-Anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

MedSAM

The official repository for MedSAM: Segment Anything in Medical Images.

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.

depth_pose_estimtion

Surgical_Instruments_Segmentation

AI_Medical_Imaging

3D_Attention_UNet

tool_detection

Semi-InstruSeg

[MICCAI'20] Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video

collision-avoidance

LWANet

Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments

Real-time-Neuroendoscopy-Multi-task-Framework

This is the project of paper: Real-Time Instance Segmentation and Tip Detection for Surgical Instruments in Neuroendoscopic Surgery.

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

EMGForceEstimation

Estimating force from surface EMG signal.

EMG-based-Estimation-of-Lower-Limb-Joint-Angles-and-Moments-Using-Long-Short-Term-Memory-Network

Applied-Deep-Learning

Applied Deep Learning Course

Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

iEMG_LSTM_force_regression

End-to-End Estimation of Hand- and Wrist Forces From Raw Intramuscular EMG Signals Using LSTM Networks

neuromuscular_notebook

The neuromuscular model notebook is an interactive tool for studying the underlying mechanisms of electromyogram (EMG) and force generation. The model, which was based on previous studies (see references below), can be used for research purposes as well as a teaching platform.

MultistepNNs

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems

sEMG-Net

NeuralNetworks for hand gesture recognition.

PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

CPG_biped_walker_Ryu_Kuo

Ryu & Kuo - Optimal central pattern generators paper

CEPAGE

A MATLAB toolbox for simulating, analyzing and designing Central Pattern Generator