GitHub topics: bayesian-estimation
ArhamAzeem/casimir-nanopositioning-platform
Discover the Casimir Nanopositioning Platform, featuring quantum-enhanced calculations and a multi-physics digital twin for precise positioning. 🌌🔧
Language: Python - Size: 776 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
kkoukouletsou/Pattern-Recognition-and-Machine-Learning
Assignments for Pattern Recognition and Machine Learning Course at ECE AUTH.
Language: Jupyter Notebook - Size: 857 KB - Last synced at: 28 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
arcticoder/casimir-nanopositioning-platform
Research-stage results; see docs/ for validation, benchmarks, and uncertainty notes.
Language: Python - Size: 831 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
AndreiMoraru123/2D-Tracker
Linear, Extended & Unscented Kalman filter Fusion Models for 2D tracking
Language: MATLAB - Size: 584 KB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 2
wajoel/tvp-var-sv-model
TVP-VAR-SV modeling in MATLAB.
Language: MATLAB - Size: 15.6 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
fipelle/replication-hasenzagl-et-al-2020
Replication code for "A Model of the Fed's View on Inflation".
Language: Jupyter Notebook - Size: 5.79 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 13
ohmthanap/CS559_Machine-Learning-Fundamentals-Applications
Learned the fundamentals and applications in ML: Intro to Prob. & Linear algebra, Decision Theory, MLE & BE, Linear Model, Linear Discriminant function, Perceptron, FLD, PCA, Non-parametric Learning, Clustering, EM, GMM, EM and Latent Variable Model, Probabilistic Graphical Model, Bayesian Network, Neural Network, SVM, Decision Tree and Boosting
Language: Jupyter Notebook - Size: 62.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
ifrunistuttgart/ParticleFilter_UpdraftEstimator
This repository contains a flight-tested Python implementation of a particle-filter-based multiple thermal updraft estimator that allows autonomous updraft localization and exploitation.
Language: Python - Size: 379 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
yxu1183/Machine-Learning
Machine Learning Algorithms - Naive Bayes Classifier, Bayesian Estimation, Linear Regression, Neural Network, Decision Trees, K-means Clustering, Markov Decision Process
Language: Python - Size: 21.2 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
paavanindela/CS215
Data Analysis and Interpretation
Language: TeX - Size: 15.8 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
