ehsan5z

ehsan5z's Stars

• ChristosChristofidis/awesome-deep-learning

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

  24.3k1.2k216.1k

• jbhuang0604/awesome-computer-vision

  A curated list of awesome computer vision resources

  21k1.2k264.3k

• LiheYoung/Depth-Anything

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

  Language:Python7k49216538

• kiloreux/awesome-robotics

  A list of awesome Robotics resources

  4.4k2179821

• maziarraissi/PINNs

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

  Language:Python3.9k120551.3k

• maziarraissi/Applied-Deep-Learning

  Applied Deep Learning Course

  3.2k978669

• jslee02/awesome-collision-detection

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

  88443783

• jdtoscano94/Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets

  Physics Informed Machine Learning Tutorials (Pytorch and Jax)

  Language:Jupyter Notebook4591210168

• lppllppl920/EndoscopyDepthEstimation-Pytorch

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

  Language:Python13173728

• maziarraissi/MultistepNNs

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

  Language:Python609147

• mobarakol/3D_Attention_UNet

  Language:Jupyter Notebook45146

• nizhenliang/LWANet

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

  Language:Python311410

• molinaris/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.

  Language:Python8301

• hansolxryu/CPG_biped_walker_Ryu_Kuo

  Ryu & Kuo - Optimal central pattern generators paper

  Language:Mathematica71

• antecessor/EMGForceEstimation

  Estimating force from surface EMG signal.

  Language:Python5200

• kodamanbou/sEMG-Net

  NeuralNetworks for hand gesture recognition.

  Language:Python4

• mobarakol/Surgical_Instruments_Segmentation

  Language:Jupyter Notebook4212

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

  Language:Python3

• mobarakol/AI_Medical_Imaging

  Language:Jupyter Notebook310

• lppllppl920/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.

  Language:Jupyter Notebook2001

• aeolsson/iEMG_LSTM_force_regression

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

  Language:Python1

• COMPsys-UNIGE/CEPAGE

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

  Language:MATLAB10

• cynerelee/collision-avoidance

  1000

• deekshaprabhakar199/Detection-of-Neurovascularization-from-Retinal-Images

  10

• lppllppl920/MedSAM

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

  Language:Jupyter Notebook100

• lppllppl920/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.

  Language:Jupyter Notebook100

• mobarakol/depth_pose_estimtion

  Language:Python1

• mobarakol/tool_detection

  Language:Jupyter Notebook1100

• RH-Song/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.

  1100

• YuemingJin/Semi-InstruSeg

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

  Language:Python1001