jrodriguezpuigvert

jrodriguezpuigvert's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34k7521.3k7.8k

• fossasia/visdom

  A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

  Language:Python10k1855601.1k

• raulmur/ORB_SLAM2

  Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

  Language:C++9.3k3739654.7k

• colmap/colmap

  COLMAP - Structure-from-Motion and Multi-View Stereo

  Language:C++7.5k1732k1.5k

• 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:Python4.4k73242619

• nianticlabs/monodepth2

  [ICCV 2019] Monocular depth estimation from a single image

  Language:Jupyter Notebook4.1k68480953

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.8k2724304

• raulmur/ORB_SLAM

  A Versatile and Accurate Monocular SLAM

  Language:C++1.5k119169819

• google/uncertainty-baselines

  High-quality implementations of standard and SOTA methods on a variety of tasks.

  Language:Python1.4k2189205

• cvg/nice-slam

  [CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

  Language:Python1.4k34118193

• TRI-ML/packnet-sfm

  TRI-ML Monocular Depth Estimation Repository

  Language:Python1.2k57228242

• facebookresearch/StyleNeRF

  This is the open source implementation of the ICLR2022 paper "StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis"

  Language:Python957615491

• vislearn/FrEIA

  Framework for Easily Invertible Architectures

  Language:Python76119101112

• lmb-freiburg/demon

  DeMoN: Depth and Motion Network

  Language:Python5744278156

• facebookresearch/iSDF

  Real-time Neural Signed Distance Fields for Robot Perception

  Language:Python418131552

• team-approx-bayes/dl-with-bayes

  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"

  Language:Python24114923

• pmorerio/dl-uncertainty

  "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

  Language:Python2067736

• jmccormac/pySceneNetRGBD

  Scripts showing how to work with the SceneNetRGBD dataset

  Language:Python17853546

• cybertronai/pytorch-sso

  PyTorch-SSO: Scalable Second-Order methods in PyTorch

  Language:Python1415520

• jmfacil/camconvs

  Code for the CVPR paper "CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth"

  Language:Jupyter Notebook1205619

• vislearn/conditional_INNs

  Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)

  Language:Python9381323

• VMBoehm/PAE

  Probabilistic Auto-Encoder

  Language:Jupyter Notebook42519

• Sbrunoberenguel/OmniSCV

  Omnidirectional Synthetic image generator for Computer Vision

  Language:Python41509

• SebFar/radial_bnn

  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning

  Language:Python33233

• serizba/SfM-TTR

  SfM-TTR: Using Structure from Motion for Test-Time Refinement of Single-View Depth Networks

  Language:Python23331

• roym899/replica_generator

  Generator for Replica dataset using habitat-sim

  Language:Python6110

• eurobotics/eurobotics2010_software

  Source code of Zamorano robot

  Language:C10

• eurobotics/eurobotics2014_software

  Source code of Grosnik & Seskäpa robots

  Language:Makefile1200

• eurobotics/eurobotics2015_software

  Source code of P.Tinto & Tirantes robots

  Language:Makefile1200

• eurobotics/eurobotics_docs

  Documentation related with the development of Eurobotics robots.

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