robotVisionHang

robotVisionHang's Stars

• xuzhiqin1990/understanding_dl

  A lecture note for understanding deep learning

  Language:Jupyter Notebook18922

• davidstutz/superpixels-revisited

  Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.

  Language:C++26271

• DepthAnything/Depth-Anything-V2

  [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python3.8k331

• princeton-vl/SEA-RAFT

  [ECCV2024 - Oral, Best Paper Award Candidate] SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow

  Language:Python32812

• google-deepmind/penzai

  A JAX research toolkit for building, editing, and visualizing neural networks.

  Language:Python1.7k52

• greenbellpepper/GreenPepper

  864120

• computational-cell-analytics/micro-sam

  Segment Anything for Microscopy

  Language:Jupyter Notebook36345

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook3k414

• JieHong-Liu/Image-Enhancement-on-Dark-Image

  C++ codes for the paper "Image_enhancement_with_the_application_of_local_and_global_enhancement_methods_for_dark_images" on 2017

  Language:C++11

• jinyummiao/map-in-mono-reloc

  a paper list of visual re-localization algorithms

  819

• LTH14/rcg

  PyTorch implementation of RCG https://arxiv.org/abs/2312.03701

  Language:Python83439

• lencx/ChatGPT

  🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

  Language:Rust52.9k6k

• hayashimasa/UNet-PyTorch

  PyTorch implementation of the U-Net architecture

  Language:Python245

• clcarwin/focal_loss_pytorch

  A PyTorch Implementation of Focal Loss.

  Language:Python962227

• qubvel-org/segmentation_models.pytorch

  Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

  Language:Python9.7k1.7k

• gboeing/cv

  Geoff Boeing's academic CV in LaTeX

  Language:TeX314106

• AMNL-UofT/euploidy-prediction

  Language:Jupyter Notebook1

• JunMa11/SegLossOdyssey

  A collection of loss functions for medical image segmentation

  Language:Python3.8k603

• imagej/napari-imagej

  Use ImageJ functionality from napari

  Language:Python254

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.5k3k

• cartographer-project/cartographer

  Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

  Language:C++7.2k2.3k

• caochao39/tare_planner

  TARE Exploration Planner for Ground Vehicles

  Language:C++440102

• robotVisionHang/LiveBirthPrediction_Data_Code

  Data and code needed to reproduce the findings of the live birth prediction study.

  Language:Jupyter Notebook3

• princeton-vl/infinigen

  Infinite Photorealistic Worlds using Procedural Generation

  Language:Python5.4k468

• athakkar2/lowlightenhance

  Enhance Dark Images

  Language:C++1

• pvnieo/Low-light-Image-Enhancement

  Python implementation of two low-light image enhancement techniques via illumination map estimation

  Language:Python47569

• albumentations-team/albumentations

  Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

  Language:Python14.3k1.6k

• rawmarshmellows/pytorch-unet-resnet-50-encoder

  Language:Python14444

• TripleCoenzyme/ResNet50-Unet

  Segmentation for vertebra in MR images

  Language:Python9817

• traveller59/spconv

  Spatial Sparse Convolution Library

  Language:Python1.9k365