24 skills found
Visualize-ML / Probability And Statistics Made Easy Learn With Python And Visualization”数学不难“ 之 《概率统计不难》；先占个坑，请大家多支持，希望不弃坑
ServiceNow / HighRes NetPytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition. This is a ServiceNow Research project that was started at Element AI.
Jamie725 / Multimodal Object Detection Via Probabilistic EnsemblingNo description available
diegovalsesia / DeepsumDeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)
ksmzn / ProbabilityDistributionsViewerShiny web app for live demonstration of probability distributions.
diegovalsesia / PiunetPermutation invariance and uncertainty in multitemporal image super-resolution
davitpapikyan / Probabilistic Downscaling Of Climate VariablesProbabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models
mmbajo / PROBA VEnhance low resolution image using Convolutional Neural Nets. My solution to European Space Agency's one of its many contest.
frandorr / 3DWDSRNetSolution to Proba-V Super Resolution
IPL-UV / Pvl8dagansOfficial code for Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection
lfsimoes / ProbavSuper-resolution enhancement of PROBA-V satellite images
fgianoli / CopernicusGlobalLandThe CGLS vegetation-related products (i.e. NDVI, LAI, FAPAR…), based on PROBA-V observations, have been distributed at 1km and 333m spatial resolution until June, 2020. However, as of July, 2020, all Near Real Time (NRT) production of the vegetation biophysical variables, based on Sentinel-3 observations, are no longer provided at 1km resolution. Nonetheless, users interested in continuing their 1km time series can use a resample of the new 333m products.
Gagniuc / Discrete Probability Detector In VB6Discrete Probability Detector (DPD) is an algorithm that transforms any sequence of symbols into a transition matrix. It is able to detect the number of states from the sequence and calculate the transition probabilities between these states. This version of DPD is made in Visual Basic 6.0.
amazon-science / Explaining Probabilistic Models With Distributinal ValuesDistributional values for XAI
kubesecurity / Openshift Probable VulnerabilitiesThis repository contains all the code, models, scripts and reports for flagging probable vulnerabilities for the gokube-openshift eco-system
Randa-lab / Bayesian Neural Network Probabilistic Ionosphere VTECBayesian neural network models for probabilistic VTEC forecasting with 95% confidence, from the paper "Uncertainty Quantification for Machine Learning-based Ionosphere and Space Weather Forecasting" by Natras et al. (submitted to the Space Weather, AGU)
BenSeddikMehdi / Goertzel Vs Matched Filter ProbabilityOfDetectionCompare between Goertzel Algorithm and Matched Filtering by plotting the Probabilities of detection versus SNR (Signal-to-Noise-Ratio) over MATLAB.
nikhilsajwan / Efficient Use Of Monte Carlo And Las Vegas Algorithms For Probability Prediction In BaccaratAn application that uses monte carlo and las vegas aproaches to solve large probability problems, implementation of 416 threads makes the las vegas algorithms faster and special data structures make monte carlo algorithms less error prone.
MShadiNashed / Random Fatigue Life Prediction By Means Of Nonconstant Variance Probabilistic Neural NetworkNo description available
ExamenesViejos-FAMAF-Computacion / ExamenesViejos ProbabilidadyEstadistica FAMAFExámenes viejos de la materia probabilidad y estadística (computación) - introducción a la probabilidad y estadística (profesorados) de FAMAF
