Pinned Repositories
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
raghuch's Repositories
raghuch/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.
raghuch/Clustering.jl
A Julia package for data clustering
raghuch/crnn-densenet
raghuch/crnn.pytorch
Convolutional recurrent network in pytorch which uses densenet
raghuch/Distances.jl
A Julia package for evaluating distances(metrics) between vectors.
raghuch/dl-club-work
Various exercies and projects done as a part of Deep Learning club in Bangalore
raghuch/Elly.jl
Hadoop HDFS and Yarn client
raghuch/eloquentjs-exercises
My solutions to some exercises from the book "Eloquent Javascript"
raghuch/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.
raghuch/ERAv2
raghuch/EVA8_assignments
raghuch/ExpmV.jl
Julia package to compute the result of expm(t*A)*v when A is a sparse matrix, without computing expm(t*A).
raghuch/GCP-pub-sub-expts
my experiments with Google pub/sub samples
raghuch/gcppubsub-new
raghuch/go-work
raghuch/julia
The Julia Language: A fresh approach to technical computing.
raghuch/ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
raghuch/pubsub-examples
raghuch/pubsub-new
raghuch/pytorch-course
Code for the Intro to Pytorch course on Udacity
raghuch/QSimulator.jl
Unitary and Lindbladian evolution in Julia
raghuch/quantumwalk_new
raghuch/QuBase.jl
A foundational library for quantum mechanics in Julia
raghuch/QuDirac.jl
A library for performing quantum mechanics using Dirac notation in Julia
raghuch/QuDynamics.jl
A JuliaQuantum package for solving dynamical equations in quantum mechanics.
raghuch/raghun.github.io
new github pages static site
raghuch/RecSys.jl
raghuch/SABER
Semi-Supervised Audio Baseline for Easy Reproduction
raghuch/tensorflow
Computation using data flow graphs for scalable machine learning
raghuch/Udacity_MLND
Projects as part of my Udacity Machine Learning Nanodegree