AnandKhandekar

Python-course-ECL404

PCA--Breast-Cancer-Dataset

Reduce a multi variate Data set to 2 Component one to visualize the spread of the DATA

Principal-Component-Analysis

Linear PCA maps higher dimensional data into lower dimensions with minimal loss, while probabilistic PCA used along with EM can even take care of missing data.

Variational-Inference

One of the core problems of modern statistics is to approximate difficult-to-compute probability densities. This problem is especially important in Bayesian statistics, which frames all inference about unknown quantities as a calculation involving the posterior density.variational inference (VI), a method from machine learning that approximates probability densities through optimization.

Sub-Pixel-edge-detection

Zernike moments are employed to detect position of the edges at a sub-pixel level accuracy. CNN is used initially to extract features followed by transformation procedure to pass the output to a bi directional LSTM.

engineering_python

new repo for Python course

Introduction-to-PyMC3

PyMC3 is a new open source probabilistic programming framework written in Python that uses Theano to compute gradients via automatic differentiation as well as compile probabilistic programs on-the-fly to C for increased speed. Contrary to other probabilistic programming languages, PyMC3 allows model specification directly in Python code.

BDA-Gelman-Solved-Exercises

This repo consists of COLB notebooks and pdfs explaining the exercises in the text Bayesian Data Analysis by Gelmna. The Probabilistic Programming Language used is PyMC3.

Bird-s-Eye-View-Image-Projection

The imaging plane or the camera plane is a 2D projection of 3D world coordinates therefore, the spatial relationship between the objects in this plane changes due to camera perspective. The objects near to the camera appear larger than those that are away from it. Calculating the distance between the rectangles in this perspective would give an incorrect estimate of the actual distance, we must correct it by transforming the image into top-down-view or bird’s-eye-view. This is done by applying an Inverse Perspective Transform onto the image.

blog

AnandKhandekar/engineering_python

new repo for Python course

AnandKhandekar/blog

AnandKhandekar/test_repo

maiden attempt of CI from prgrammingwith alex YT channel

AnandKhandekar/fykas

data visualization of Reheating furnace

AnandKhandekar/green-rain

MATRIX green rain background in p5.js

AnandKhandekar/Diwali-Greeting

white screen rendering Issue check

AnandKhandekar/VAE-and-VQ-VAE

Generative Models ( Unsupervised )

AnandKhandekar/Practical-Deep-Learinng

40 hour Deep Learning Course

AnandKhandekar/Browswer-based-models-in-TFJS

experiments with tf.js models that run on browsers

AnandKhandekar/TFUG-Pune-talk-May-2021

Slides and content for the Talk on the topic of " a visual exploration of basic math behind multivariate Gaussian"

AnandKhandekar/fastpages

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

AnandKhandekar/Nearby-Vaccine-Centers

A free widget to easily find nearby COVID vaccination center.

AnandKhandekar/Python-course-ECL404

AnandKhandekar/Fourier-Series-SCIPY.SIGNAL

using SCIPY package to reproduce user defined signal wave forms in FOURIER series

AnandKhandekar/Fourier-Series-Animmation

interactive FS Demo

AnandKhandekar/HTML-CSS-trial

these are my initial attempts with HTML and CSS

AnandKhandekar/mediapipe

a collection of pre trained models used with open cv

AnandKhandekar/Live-Face-detction

draws 200+ control points over your face on a live video

AnandKhandekar/S2i-model

this is the face of the S2i Program

AnandKhandekar/st_app_01

first attempt at HIROKU hosting

AnandKhandekar/Gibbs-Sampling--Straight-Line

This is onl to introduce how Gibbs Sampling works for FITTING a straight Line to a given Data.

AnandKhandekar/Bird-s-Eye-View-Image-Projection

The imaging plane or the camera plane is a 2D projection of 3D world coordinates therefore, the spatial relationship between the objects in this plane changes due to camera perspective. The objects near to the camera appear larger than those that are away from it. Calculating the distance between the rectangles in this perspective would give an incorrect estimate of the actual distance, we must correct it by transforming the image into top-down-view or bird’s-eye-view. This is done by applying an Inverse Perspective Transform onto the image.

AnandKhandekar/PCA--Breast-Cancer-Dataset

Reduce a multi variate Data set to 2 Component one to visualize the spread of the DATA

AnandKhandekar/Principal-Component-Analysis

Linear PCA maps higher dimensional data into lower dimensions with minimal loss, while probabilistic PCA used along with EM can even take care of missing data.

AnandKhandekar/Streamlit--Introduction

A basic Introduction of Streamlit features

AnandKhandekar/DT-for-AI--Workshop

A 2 day workshop to merge the two streams for curating inter disciplinary project ideas.

AnandKhandekar/mmm_stan

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

AnandKhandekar/MeanField-Variational-Inference

This repo is an attempt to explain the concepts behind deriving the approximate POSTERIOR which is often deemed INTRACTABLE. A GAUSSIAN MIXTURE MODEL is used in the CODE

AnandKhandekar/Introduction-to-PyMC3

PyMC3 is a new open source probabilistic programming framework written in Python that uses Theano to compute gradients via automatic differentiation as well as compile probabilistic programs on-the-fly to C for increased speed. Contrary to other probabilistic programming languages, PyMC3 allows model specification directly in Python code.

AnandKhandekar/BDA-Gelman-Solved-Exercises

This repo consists of COLB notebooks and pdfs explaining the exercises in the text Bayesian Data Analysis by Gelmna. The Probabilistic Programming Language used is PyMC3.