devblog

Connecting Realsense camera in LXC container

RealSense camera in LXC container

Cpp Common Knowledge

My notes for cpp

Uncertain Data types - Sampling based Bayes-Laplace Rule

Python class for uncertain datatype

Representation and propagation of uncertainty

Uncertainty representation in Robotics

Non-Linear System Definitions - Application Kalman Filter

Examples of non-linear systems

FOMO - Embedded Image Segmentation Pytorch Model

Pytorch Implementation of FOMO model form Edge Impulse

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

FFMPEG - Automating video edition

ffmpeg different commands

Bayesian Networks ? What and Why

Brief Explanation of Bayesian Network

Neural Linear Model (aka Gaussian Process)

Based on the tweet by Andrew Jesson. Below is from the notebook shared by Andrew.

Derivative of different Deep Neural Networks loss functions

MSE loss, logistic regression, softmax regression

Bhattacharya Distance: Dirichlet and Multinomial distribution

Derivation and Code

Building AI and Sustainability Solutions on SAP BTP

Approximating Cauchy with Gaussian: Boxcox transformation

Boxcox transformation

Fibonacci Sequence: Non Recursive Formula

Plots and comparison to Exponential and notes on Power equations

General loss fuction: L1, L2, L3 …

Linear, Quadratic, Cubic

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

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

Generalized Gaussian Distribution/Exponential Power Distribution

Exponential Power Distribution: PDF and NLL Visualization

Generalized Gaussian Distribution

Quantization of Pytorch Models

Different types of quantization

Mohan Raj, Deebul Nair

Migrating Kelo Tulip to ROS2

Migrating Kelo Tulip to ROS2

Dis-entaglement of Epistemic and Aleatoric uncertainty for Dirichlet Distribution

Comparing Distributions : Normal, Laplace and Cauchy

Interval score based distribution comparison

Running ros2 humble in ubuntu lxd container

Running ros2 humble in ubuntu lxd container

Compile Latex file using Github Action

Compile Latex file using Github Action

Learning Probability for Application

Learning Probability for Application

Proper Scoring Rules: Interval Score and CRPS

Comparison of Proper Scoring Rules

Embedding output for Multi-class classification

Visualization and Analysis

Flexible Distributions as an Approach to Robustness

Neurips Competition Uncertainty Estimation

Neurips Competition Summary

Using uncertainties in DNN application

How to use uncertainty estimates from deep neural networks

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].…

DNN Wiki

Deep Neural Network Personal Wiki

Reliability in DNN systems(WIP)

Reliability of DNN

Different types of uncertainty in DNN systems?

A explanation of different uncertainties in DNN

Regression Uncertainty

Learning uncertainty for regression using higher order distribution

Dataset shift

A explanation of dataset shifts in learning problems

Plotting Normal Inverse Gamma Distirbution

Python plot Normal Inverse Gamma Distirbution

Regression Uncertainty Robustness

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

Likelihood

To understand Likelihood of distributions

Template

To understand Likelihood of distributions