Megh Shukla (meghshukla)

meghshukla

Geek Repo

Company:Ecole Polytechnique Federale De Lausanne

Location:Lausanne, Switzerland

Home Page:https://meghshukla.github.io

Twitter:@MeghShukla

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Megh Shukla's repositories

MPII-Human-Pose-Visualization

Loading and Visualizing MPII Human Pose dataset in Python

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ActiveLearningForHumanPose

Author implementations for VL4Pose, EGL++ and LearningLoss++, and "unofficial" implementations of various active learning algorithms for human pose estimation!

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Principal-Component-Analysis-Matlab

Principal Component as a tool for Dimensionality Reduction using Hyperspectral images

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LEt-SNE

Dimensionality Reduction and visualization technique that compensates for the curse of dimensionality (ICASSP '20)

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Atmega-2560-code-Embedded-C

Programming of Firebird V Hardware development platform with Atmega 2560 Microcontroller.

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meghshukla.github.io

A beautiful portfolio Jekyll theme that works with GitHub Pages.

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CUDA-Python-GPU-Acceleration-MaximumLikelihood-RelaxationLabelling

GUI implementation with CUDA kernels and Numba to facilitate parallel execution of Maximum Likelihood and Relaxation Labelling algorithms in Python 3

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Data-PreProcessing-ML-Python-3

Processing Data with class imbalances, missing values for Machine Learning applications. Use of cross-validation and it's limitations

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Fully-Connected-Neural-Network-in-Python-3

Neural Network coded from scratch, only library used is numpy; implemented as a part of my BE project.

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KeypointDemo_WADLA_IIIT

Jupyter notebook visualization of 2D single person human pose estimation.

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TIC-TAC

Code repository for "TIC-TAC: How To Learn And Evaluate Your Covariance". We derive the TIC: Taylor Induced Covariance and show that incorporating the gradient and curvature results in better covariance predictions. We also propose TAC: Task Agnostic Correlations, a new metric to quantitatively evaluate the covariance.

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