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applied-ml

My Machine learning learnings, usually while following Yorko's course or UIUC's Applied ML course (http://luthuli.cs.uiuc.edu/~daf/courses/AML-18/aml-home.html), following Prof. Forsyth's free Applied ML ebook.

clustering.jl

A Julia package for data clustering

crnn-densenet

crnn.pytorch

Convolutional recurrent network in pytorch which uses densenet

distances.jl

A Julia package for evaluating distances(metrics) between vectors.

dl-club-work

Various exercies and projects done as a part of Deep Learning club in Bangalore

elly.jl

Hadoop HDFS and Yarn client

eloquentjs-exercises

My solutions to some exercises from the book "Eloquent Javascript"

era-v1-assignments

This is a repo which hosts the solutions to assignments in the ERA-v1 course. Each assignment has its' own dir and own README file, so please dive into each assignment folder for more info.

erav2

eva8_assignments

expmv.jl

Julia package to compute the result of expm(t*A)*v when A is a sparse matrix, without computing expm(t*A).

gcp-pub-sub-expts

my experiments with Google pub/sub samples

gcppubsub-new

go-work

julia

The Julia Language: A fresh approach to technical computing.

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

pubsub-examples

pubsub-new

pytorch-course

Code for the Intro to Pytorch course on Udacity

qsimulator.jl

Unitary and Lindbladian evolution in Julia

quantumwalk_new

qubase.jl

A foundational library for quantum mechanics in Julia

qudirac.jl

A library for performing quantum mechanics using Dirac notation in Julia

qudynamics.jl

A JuliaQuantum package for solving dynamical equations in quantum mechanics.

raghun.github.io

new github pages static site

recsys.jl

saber

Semi-Supervised Audio Baseline for Easy Reproduction

tensorflow

Computation using data flow graphs for scalable machine learning

udacity_mlnd

Projects as part of my Udacity Machine Learning Nanodegree