Rajath Kumar

Python-Lectures. IPython Notebooks to learn Python

speaker-verification. Implementation of state of the art d-vector approach for speaker verification

FaceRecog. Face Recognition using Neural Networks implemented using Keras

DCGAN. Implementation of Deep Convolutional Generative Adversarial Networks on MNIST database in Keras

keyword-spotting. Wake-Up-Word Keyword Spotting implemented in Keras

LandmineLocalizationGPR. An algorithm that performs localization of landmines and estimates the material of the same.

Matlab-MPU6050-2DVisulization. Arduino

DistributedCompression. Low Complexity Distributed approach to Hyperspectral Image Compression

AprilTags. Robocomp Component subscibing to AprilTags

RoboComp-Tutorial. This is part of GSoC 2015, Repository contains solved problem statements mentioned in www.robocomp.github.io/website

PreprocessingHyperspectral. Algorithms are carried out on Hawaii.raw. GOA, MergeSort and HeapSort.

intro-numerical-methods. Jupyter notebooks and other materials developed for the Columbia course APMA 4300

HyperspectralMVQ. Analysis of Lossy to Near-Lossless Compression of Hyperspectral Imagery Using Prediction and Multistage Vector Quantization

PrintNestedLists. Print all data in nested lists according to requirements

BMC. Notes on Scientific Computing for Biomechanics and Motor Control

pycrumbs. Bits and bytes of Python from the Internet

RoboComp-Python-Components. Components written in Python

keras. Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

SignalProcessingSnippets. IPython notebook snippets on Signal Processing