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map-estimation

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alfredgu001324 /MapUncertaintyPrediction

[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction

autonomous-driving uncertainty-estimation trajectory-prediction map-estimation motion-prediction cvpr2024

UpdatedMar 10, 2025
Python

alfredgu001324 /MapBEVPrediction

[ECCV 2024] Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention

autonomous-driving trajectory-prediction map-estimation motion-prediction bev-perception eccv2024

UpdatedMar 4, 2025
Python

TaddyLab /maptpx

map estimation of topic models

topic-modeling map-estimation

UpdatedMay 27, 2020
R

CMU-SAFARI /EINSim

DRAM error-correction code (ECC) simulator incorporating statistical error properties and DRAM design characteristics for inferring pre-correction error characteristics using only the post-correction errors. Described in the 2019 DSN paper by Patel et al.:https://people.inf.ethz.ch/omutlu/pub/understanding-and-modeling-in-DRAM-ECC_dsn19.pdf.

simulator reliability statistical-inference dram error-correcting-codes map-estimation error-correction

UpdatedDec 7, 2023
C++

gabeschamberg /nonmarkov-timeseries-estimation

Implementation of framework and reproduction of figures from "A Modularized Efficient Framework for Non-Markov Time Series Estimation" (https://arxiv.org/abs/1706.04685)

jupyter-notebook filtering optimization-algorithms time-series-analysis map-estimation

UpdatedApr 26, 2018
Python

harsh306 /Notes-MLE

entropy linear-regression ridge-regression convex-optimization lasso-regression map-estimation mle-estimation not-for-beginner

UpdatedDec 26, 2019
TeX

piotrdurniat /pgm-l02-mle-map

maximum-likelihood-estimation maximum-a-posteriori-estimation map-estimation mle-estimation

UpdatedOct 31, 2024
Jupyter Notebook

luke-davidson /MachineLearning

Assignments completed for my Machine Learning course: Topics include probability and statistics proofs, MLE/MAP parameter estimation, EM Algorithm, Bayes Theorem implementations, gradient descent methods, Neural Networks and Deep Learning.

machine-learning deep-neural-networks deep-learning svm linear-regression naive-bayes-classifier pca logistic-regression gradient-descent parameter-estimation bayesian-optimization em-algorithm statistical-models probabilistic-models map-estimation mle-estimation k-means-clustering

UpdatedJan 28, 2023
Python

scriptographers /CS215-Assignment-5

Assignment 5, Data Analysis and Interpretation, Autumn 2020, IIT Bombay

bayesian-inference map-estimation

UpdatedNov 17, 2020
TeX

abisliouk /IE675b-machine-learning

This is a repository with the assignments of IE675b Machine Learning course at University of Mannheim.

cross-validation naive-bayes-classifier logistic-regression gradient-descent svd lvm l2-regularization normalization stochastic-gradient-descent multinomial-naive-bayes map-estimation mle-estimation dirichlet-distribution gmm-clustering gaussian-prior

UpdatedDec 9, 2024
Jupyter Notebook

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