devblog

Image 2D to 3D projection

A journey through computer vision: How cameras see the world and how we can see it back
 

Working with ROS Bag Files

Time Issues and Solutions

Feb 3, 2025

Connecting Realsense camera in LXC container

RealSense camera in LXC container

Jun 3, 2024
 

Cpp Common Knowledge

My notes for cpp

Mar 11, 2024

Uncertain Data types - Sampling based Bayes-Laplace Rule

Python class for uncertain datatype

Jan 9, 2024
Deebul Nair
 

Representation and propagation of uncertainty

Uncertainty representation in Robotics

Aug 25, 2023
Deebul Nair
 

Non-Linear System Definitions - Application Kalman Filter

Examples of non-linear systems

Aug 21, 2023
Deebul Nair

FOMO - Embedded Image Segmentation Pytorch Model

Pytorch Implementation of FOMO model form Edge Impulse

Jun 16, 2023
Deebul Nair

Introduction To Statistical Testing

Below are the slides I created for introducting statistial testing to master students of Autonomous Systems group in Hochschule Bonn-Rhein-Sieg
Jun 15, 2023
Deebul Nair

FFMPEG - Automating video edition

ffmpeg different commands

Apr 29, 2023

Bayesian Networks ? What and Why

Brief Explanation of Bayesian Network

Apr 12, 2023

Neural Linear Model (aka Gaussian Process)

Based on the tweet by Andrew Jesson. Below is from the notebook shared by Andrew.
Mar 9, 2023
Deebul Nair
 

Derivative of different Deep Neural Networks loss functions

MSE loss, logistic regression, softmax regression

Mar 1, 2023
Deebul Nair

Bhattacharya Distance: Dirichlet and Multinomial distribution

Derivation and Code

Feb 28, 2023
Deebul Nair
 

Building AI and Sustainability Solutions on SAP BTP

Certification

Feb 24, 2023

Approximating Cauchy with Gaussian: Boxcox transformation

Boxcox transformation

Feb 14, 2023
Deebul Nair

Fibonacci Sequence: Non Recursive Formula

Plots and comparison to Exponential and notes on Power equations

Feb 8, 2023
Deebul Nair

General loss fuction: L1, L2, L3 …

Linear, Quadratic, Cubic

Jan 26, 2023
Deebul Nair

Error Correcting Output codes - Why one-hot encoding is prone to attack

Paper reading

Jan 26, 2023
Deebul Nair

Generalized Gaussian Distribution: Uncertainty Estimation for Regression with Outlier(Noisy) Labels

Generalized Gaussian Distribution/Exponential Power Distribution

Jan 22, 2023
Deebul Nair

Quantization of Pytorch Models

Different types of quantization

Jan 17, 2023
Mohan Raj, Deebul Nair

Exponential Power Distribution: PDF and NLL Visualization

Generalized Gaussian Distribution

Jan 17, 2023
Deebul Nair

Migrating Kelo Tulip to ROS2

Migrating Kelo Tulip to ROS2

Jan 13, 2023
 

Dis-entaglement of Epistemic and Aleatoric uncertainty for Dirichlet Distribution

Analysis

Dec 19, 2022
Deebul Nair

Comparing Distributions : Normal, Laplace and Cauchy

Interval score based distribution comparison

Dec 15, 2022
Deebul Nair

Running ros2 humble in ubuntu lxd container

Running ros2 humble in ubuntu lxd container

Oct 20, 2022
 

Compile Latex file using Github Action

Compile Latex file using Github Action

Jun 25, 2022
 

Learning Probability for Application

Learning Probability for Application

May 13, 2022

Proper Scoring Rules: Interval Score and CRPS

Comparison of Proper Scoring Rules

Feb 5, 2022
Deebul Nair

Embedding output for Multi-class classification

Visualization and Analysis

Jan 11, 2022
Deebul Nair

Flexible Distributions as an Approach to Robustness

Paper reading

Sep 21, 2021
Deebul Nair
 

Neurips Competition Uncertainty Estimation

Neurips Competition Summary

Aug 8, 2021
 

Using uncertainties in DNN application

How to use uncertainty estimates from deep neural networks

Apr 13, 2021
 

One-vs-All Classifier

Padhy, S. et al. (2020) ‘Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks’, arXiv:2007.05134 [cs, stat].…
Jan 1, 2021

DNN Wiki

Deep Neural Network Personal Wiki

Jul 22, 2020
 

Reliability in DNN systems(WIP)

Reliability of DNN

May 29, 2020
 

Different types of uncertainty in DNN systems?

A explanation of different uncertainties in DNN

May 29, 2020

Regression Uncertainty

Learning uncertainty for regression using higher order distribution

May 27, 2020

Dataset shift

A explanation of dataset shifts in learning problems

May 21, 2020

Plotting Normal Inverse Gamma Distirbution

Python plot Normal Inverse Gamma Distirbution

May 19, 2020

Regression Uncertainty Robustness

Robustness in learning is the capacity of the network to handle corrupted data (training data or test data).
May 5, 2020
 

Likelihood

To understand Likelihood of distributions

Mar 20, 2020
Deebul Nair
 

Template

To understand Likelihood of distributions

Jan 1, 2020
Deebul Nair
No matching items