lalithnag

lalithnag's Stars

• Cardio-AI/cmr-domain-adaptation

  Unsupervised Domain Adaptation (AX2SAX) for CMR images, Koehler et al. 2021, IEEE TMI

  Language:Jupyter Notebook63

• msamogh/nonechucks

  Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!

  Language:Python37827

• CapsuleEndoscope/EndoSLAM

  EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner

  Language:Python24046

• CVLAB-Unibo/Real-time-self-adaptive-deep-stereo

  Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)

  Language:Python42073

• Cartucho/vision_blender

  A Blender addon for generating synthetic ground truth data for Computer Vision applications

  Language:Python49426

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python20.4k2.5k

• magicleap/Atlas

  Atlas: End-to-End 3D Scene Reconstruction from Posed Images

  Language:Python1.8k221

• muneebaadil/structure-from-motion

  Structure-from-Motion from scratch, using Numpy and OpenCV.

  Language:Python21035

• lppllppl920/EndoscopyDepthEstimation-Pytorch

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

  Language:Python13228

• IntelRealSense/librealsense

  Intel® RealSense™ SDK

  Language:C++7.7k4.8k

• microsoft/MixedRealityToolkit-Unity

  This repository is for the legacy Mixed Reality Toolkit (MRTK) v2. For the latest version of the MRTK please visit https://github.com/MixedRealityToolkit/MixedRealityToolkit-Unity

  Language:C#6k2.1k

• bchao1/awesome-image-rectification

  📝 A curated list of image rectification papers.

  17126

• edgarriba/kornia

  Open Source Differentiable Computer Vision Library for PyTorch

  Language:Python61

• mrharicot/monodepth

  Unsupervised single image depth prediction with CNNs

  Language:Python2.2k632

• meteorshowers/X-StereoLab

  SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE；PLUME Uber ATG

  Language:Python688125

• scott89/awesome-depth

  A curated list of publication for depth estimation

  33236

• DeepMotionAIResearch/DenseMatchingBenchmark

  Dense Matching Benchmark

  Language:Python17631

• nianticlabs/monodepth2

  [ICCV 2019] Monocular depth estimation from a single image

  Language:Jupyter Notebook4.2k963

• isl-org/MiDaS

  Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

  Language:Python4.6k635

• hufu6371/DORN

  Language:Jupyter Notebook468105

• danxuhk/StructuredAttentionDepthEstimation

  Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation in CVPR 2018 (Spotlight)

  Language:C++11118

• KinglittleQ/PSMNet

  A Pytorch implementation of Pyramid Stereo Matching Network

  Language:Python9215

• OpenMined/PySyft

  Perform data science on data that remains in someone else's server

  Language:Python9.6k2k

• L1aoXingyu/pytorch-beginner

  pytorch tutorial for beginners

  Language:Python3k1.1k

• HeidelbergAI/slides

  Storage for presentation slides of previous talks and events.

  Language:JavaScript285

• sindresorhus/awesome

  😎 Awesome lists about all kinds of interesting topics

  337k28k

• facebookresearch/hydra

  Hydra is a framework for elegantly configuring complex applications

  Language:Python8.9k644

• JiaRenChang/PSMNet

  Pyramid Stereo Matching Network (CVPR2018)

  Language:Python1.4k424

• jason718/awesome-self-supervised-learning

  A curated list of awesome self-supervised methods

  6.2k828

• Vaa3D/Vaa3D_Wiki

  www.vaa3d.org

  7813