mambo225

mambo225's Stars

• nie-lang/UDIS2

  ICCV2023 - Parallax-Tolerant Unsupervised Deep Image Stitching (UDIS++)

  Language:Python17926

• AtomScott/SportsLabKit

  A python package for turning sports video into csv files

  Language:Jupyter Notebook23718

• cchen156/Learning-to-See-in-the-Dark

  Learning to See in the Dark. CVPR 2018

  Language:Python5.5k842

• SakanaAI/AI-Scientist

  The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

  Language:Jupyter Notebook8.2k1.2k

• DeepLabCut/maDLC_NatureMethods2022

  Repository for reproducing results in Lauer et al. 2022

  Language:Jupyter Notebook192

• anl13/animal_papers

  Awesome papers for markerless animal motion capture and 3D reconstruction.

  Language:Python25414

• ychtanaka/marine-snow

  Marine Snow Removal Benchmarking Dataset

  122

• verlab/accelerated_features

  Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!

  Language:Jupyter Notebook1k113

• SoccerNet/sn-calibration

  Repository containing all necessary codes to get started on the SoccerNet Camera Calibration challenge. This repository also contains benchmark methods.

  Language:Python7615

• SoccerNet/sn-gamestate

  [CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)

  Language:Python23950

• DeepSportradar/camera-calibration-challenge

  A camera calibration challenge on Basketball images. An opportunity to publish at MMSports @ ACMMM and to win 2x $500.

  Language:Python102

• pupil-labs/pupil

  Open source eye tracking

  Language:Python1.5k680

• autowarefoundation/autoware

  Autoware - the world's leading open-source software project for autonomous driving

  Language:Dockerfile9.2k3.1k

• maziarraissi/Applied-Deep-Learning

  Applied Deep Learning Course

  3.2k673

• japan-opendata/awesome-plateau

  国土交通省 Project PLATEAU の関連情報や事例のまとめ

  18

• japan-opendata/awesome-japan-opendata

  Awesome Japan Open Data - 日本のオープンデータ情報一覧・まとめ

  124

• TIERS/multi_lidar_multi_uav_dataset

  Language:C++515

• Fsoft-AIC/Grasp-Anything

  Dataset and Code for ICRA 2024 paper "Grasp-Anything: Large-scale Grasp Dataset from Foundation Models."

  Language:Python14512

• rhett-chen/graspness_implementation

  My implementation of Graspnet Graspness.

  Language:Python14534

• stefan-ainetter/grasp_det_seg_cnn

  Code for ICRA21 paper "End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB".

  Language:Python13817

• ivalab/grasp_multiObject

  Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cornell Dataset.

  Language:MATLAB10621

• edwardnguyen1705/robotic-grasping-cornell

  Use CNNs to estimate a grasping point and angle of a given object, so that the robot arm can pick the object.

  Language:Python275

• htkseason/VOLDOR

  VOLDOR-SLAM is a real-time dense-indirect SLAM system takes dense optical flows as input that supports monocular, stereo and RGB-D video sequence.

  Language:C++47256

• Field-Robotics-Japan/UnitySensors

  ROS/ROS2 enabled Sensor models (Assets) on Unity

  Language:C#22335

• zlckanata/DeepGlobe-Road-Extraction-Challenge

  D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

  Language:Python646194

• drivendataorg/open-cities-ai-challenge

  Winners of the Open Cities AI Challenge competition

  Language:Jupyter Notebook12025

• palmdong/MMSR

  [ECCV 2022] Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution

  Language:Jupyter Notebook54

• nyokoya/dlsim

  Language:Python137

• BehnamZeinali/IMUNet

  Language:Python7215

• Space-Robotics-Laboratory/ClimbLab

  climbing simulator written in Matlab

  Language:MATLAB193