DanielPollithy's Stars
extremeheat/JSPyBridge
🌉. Bridge to interoperate Node.js and Python
joh-schb/robot-localization
Particle filter for robot localization in python.
timreibe/vaccipy
Automatisierte Impfterminbuchung für www.impfterminservice.de
BDelacour/DoctolibChecker
Track available dose of covid-19 vaccine on Doctolib using a list of centers. Alerts the user via a Telegram notification
SimonKohl/probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
naver/kapture
kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.
colmap/colmap
COLMAP - Structure-from-Motion and Multi-View Stereo
ethz-asl/hfnet
From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)
fabianonline/telegram.sh
Send telegram messages right from your command line.
tsattler/visuallocalizationbenchmark
naver/r2d2
laurentkneip/opengv
OpenGV is a collection of computer vision methods for solving geometric vision problems. It is hosted and maintained by the Mobile Perception Lab of ShanghaiTech.
germain-hug/S2DHM
Sparse-to-Dense Hypercolumn Matching for Long-Term Visual Localization (3DV 2019)
mihaidusmanu/d2-net
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
muma1018/ToDayGAN
ivclab/Day_Night_dataset_list
Collecting a list of dataset with day and night annotations
google/edward2
A simple probabilistic programming language.
yaringal/BayesianRNN
Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
shamangary/awesome-local-global-descriptor
My personal note about local and global descriptor
ranery/Bayesian-CycleGAN
[TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
andrewgordonwilson/bayesgan
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
AAnoosheh/ToDayGAN
pbecker93/ExpectedInformationMaximization
Code corresponding to "Expected Information Maximization: Using the I-Projection for Mixture Density Estimation", published at ICLR 2020
brenden/ukkonen-animation
Visualization of Ukkonen's algorithm
to-mi/gp-demo-js
Gaussian process regression demo in Javascript
nasa/SMCPy
Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
markus-m-u-e-l-l-e-r/CTC.ISL
ISL Speech Recognition Toolkit for training neural networks with the CTC loss function.
Reference-LAPACK/lapack
LAPACK development repository
faezetta/VMMRdb
Vehicle Make and Model Recognition Dataset (VMMRdb)
libornovax/master_thesis_code
Code for my master thesis: Vehicle Detection and Pose Estimation for Autonomous Driving