Megh Shukla's repositories
MPII-Human-Pose-Visualization
Loading and Visualizing MPII Human Pose dataset in Python
ActiveLearningForHumanPose
Author implementations for VL4Pose, EGL++ and LearningLoss++, and "unofficial" implementations of various active learning algorithms for human pose estimation!
Principal-Component-Analysis-Matlab
Principal Component as a tool for Dimensionality Reduction using Hyperspectral images
Atmega-2560-code-Embedded-C
Programming of Firebird V Hardware development platform with Atmega 2560 Microcontroller.
meghshukla.github.io
A beautiful portfolio Jekyll theme that works with GitHub Pages.
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
Data-PreProcessing-ML-Python-3
Processing Data with class imbalances, missing values for Machine Learning applications. Use of cross-validation and it's limitations
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.
KeypointDemo_WADLA_IIIT
Jupyter notebook visualization of 2D single person human pose estimation.
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.