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Krishna Kalyan

Login: krishnakalyan3

Company: Student

Location: Munich

Bio: GSoC 2017

Blog: kkalyan.in

Member of

The Apache Software Foundation

Repositories

Academic-Papers: deep learning papers
Algorithms: null
ambari: Mirror of Apache Ambari
AnalyticsEdgeMOOC: My Experiments with R
angular.js: AngularJS - HTML enhanced for web apps!
ansible-examples: A few starter examples of ansible playbooks, to show features and how they work together. See http://galaxy.ansible.com for example roles from the Ansible community for deploying many popular applications.
ASM: Advanced statistical modelling
AuthorDisambiguation: Spark Repository
awesome: A curated list of awesome lists
awesome-2vec: Curated list of 2vec-type embedding models
awesome-deep-learning: A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-kaggle: Kaggle competition : Code and Solutions
awesome-rl: Reinforcement learning resources curated
awesome-tensorflow: TensorFlow - A curated list of dedicated resources http://tensorflow.org
awesome-xamarin: A collection of interesting libraries/tools for Xamarin mobile projects
benchmark: null
BigDataAnalytics: Class taught by Youakim Badr
bigwindow: Big Window opens the big opportunities
Bioinformatics: http://rosalind.info/about/
Blackjack: null
Blogs: null
bokeh_example: null
BSG: null
cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both
Clustering: 3 MOOC ML Specialization
cluster-validation: Scripts to validate a cluster is ready for MapR Hadoop installation
codelibrary: Collection of algorithms and data structures
content: Official content for Harvard CS109
Coursera.org-Downloader: A python script to download lectures (videos and slides) from Cousera.org
create-your-own-adventure: null
DataCamp: null
data-science-blogs: A curated list of data science blogs
data-science-ipython-notebooks: Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
DataStructureAndAlgorithmicThinkingWithPython: Data Structure And Algorithmic Thinking With Python
ddR: Standard API for Distributed Data Structures in R
deep_learning: Deep Learning Resources and Tutorials using Keras and Lasagne
DeepLearning-Experiments: null
deep-learning-keras-tensorflow: # Deep Learning with Keras and Tensorflow
Display: null
dive-into-machine-learning: Dive into Machine Learning with ipython and scikit-learn
DL_Docker: null
DMKM: Coursework
DMKM-1: Data Mining and Knowledge Management Masters Program
dockerComp: prototype for docker hackathon
docker-zeppelin: Docker build for Zeppelin, a web-based Spark notebook
drksephy.github.io: Personal website of David Leonard
Edge: null
Embeddings: Kaggle Rossmann
emotionalRec: null
examples: A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
factory_girl: A library for setting up Ruby objects as test data.
FastAI_Practice: null
finance-ml: null
FlaskLearn: null
flask-restful-mongodb-api: REST api using flask-restful and MongoDB
FP101x-Content-2015: FP101x - Functional Programming MOOC 2015 Content Repository
Functional-Programming: Learning Scala
Game-Theory: null
GenerateAdv: Python codes for two popular methods for generating adversarial examples: LBFGS and fast gradient sign methods
gensim: Topic Modelling for Humans
GithubBasics: My Reference Stuff to run git
githubr: Making it easy to talk to GitHub from R
HackerRank: My HackerRank Challenges
Hadoop: My Hadoop Related Stuff
hadoop-1: Hadoop Cluster Configurations
HadoopCookBook: null
HadoopDesignPatterns: null
iclr_2018: Sixth International Conference on Learning Representations
incubator-lens: Mirror of Apache Lens
incubator-toree: Mirror of Apache Toree (Incubating)
incubator-toree-website: Mirror of Apache Toree website (Incubating)
Indeed-ML: null
InsightDataEngineering: null
Internship: null
IPythonNotebooks: null
IR-Lab1: null
ISTEX_MentalRotation: Semantic Search-by-Examples and Topic-Tagging for Scietific Domain Expansion in Digital Lbraries
Jade: null
JadeChatPlatform: null
jadehadoophdfs: JADE agent that communicates with HADOOP's namenode
jekyll: Jekyll is a blog-aware, static site generator in Ruby
JULIARecSys: This is an open-source recommender engine.
JuliaSentimentAnalysis: An open source sentiment analysis project.
jumbune: Jumbune is an open-source product built for analyzing Hadoop cluster and MapReduce jobs. It provides development & administrative insights of Hadoop based analytical solutions. It enables user to Debug, Profile, Monitor & Validate analytical solutions hosted on decoupled clusters.
karpathy.github.io: my blog
KernelMachineLearning: null
knowledge-dist: null
krishnakalyan3.github.io: null
LearningPlay: null
LearningTheano: null
LearnKeras: null
LearnPython: null
LearnPyTorch: null
left: Left is a clean, whitespace-happy layout for Jekyll.
Logic: Wrapping my head around recursion in Prolog
LPNorm: null
mastering-apache-spark-book: Towards mastery of Apache Spark
Matplotlib: Working it with visualizations
MatrixMethods: This repository is for the examples and assignments for the course in Basic Matrix methods in Data Science using JULIA
Mining: null
MITx-6.00.2x: null
MixtureOfExperts: Master Thesis. Code written in python. (Keras with Tensorflow backend)
ML: null
ML-Algorithms: null
MLLibExamples: null
model-theft: null
MOOC: Short List of MOOCs
Neural-Networks-Demystified: Supporting code for short YouTube series Neural Networks Demystified.
NLP: null
NN: null
OperatingSystem: Understanding Operating Systems with Python
optimization: My IPython notebooks on optimization
pig: Mirror of Apache Pig
PigCode: Pig Code - My Learnings
pig_scripts: null
PigServer: Tutorial on Unit Testing Pig and PigServer
Plant: null
Porto: null
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers: aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Probability: null
programmingpig: Data and example code for Programming Pig, by Alan F. Gates
PumpIt: null
pyipopt: A Python connector to IPOPT
PythonAlgorithms: null
python-emoji-regex: null
pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration
R: My Experiments with R stats
rddlist: Implements some methods of an R list as a Spark RDD (resilient distributed dataset)
Recipes: Lasagne recipes: examples, IPython notebooks, ...
Regression: MOOC by U of Washington Coursera
retina-unet: null
scalacaster: Purely Functional Algorithms and Data Structures in Scala
ScalaSchool: null
Scala-Tutorial: Baby steps to learn scala
scikit-learn: scikit-learn: machine learning in Python
Scripts: null
secretsanta: null
sentiment_analysis: null
SGS_TextMining: null
ShinyDockerApp: Docker Scripts to get started with shiny
s-index: null
SNLP: Statistical Processing of Natural Language
socialmediaparse: null
spark: My Spark Mirror
spark-gotchas: Spark Gotchas. A subjective compilation of the Apache Spark tips and tricks
SparkInternals: Notes talking about the design and implementation of Apache Spark
SparkR: null
SparkR-RUG: null
spark_streaming: Streaming Applications on K8
spark-streaming-sentiment: null
spork: Pig on Apache Spark
spork-streaming: Pig on Spark Streaming
spring-data-apache-hadoop-examples: null
stat212b: Topics Course on Deep Learning UC Berkeley
StatisticalLearning: null
stat-learning: Notes and exercise attempts for "An Introduction to Statistical Learning"
statlearning-notebooks: Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
Streaming-App: null
systemml: Mirror of Apache SystemML
SystemML-Utils: null
test.github.io: Blog
TextMining: Taught by Julien Velcin.
TFLearn: null
the-incredible-pytorch: The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
three-little-piggies: An IntelliJ Pig Language Plugin
TimeSeries: null
t-SNE-tutorial: A tutorial on the t-SNE learning algorithm
tut_open_cv: null
vagrant-cluster: Create a cluster with simple YAML
vagrant-hbase: A Vagrantfile to get up and running with Hadoop and HBase development.
vagrant-hugs98: Vagrantfile to play with hugs98 in a virtual machine
virtual-hadoop-cluster: A virtual Hadoop cluster running CDH5
zookeeper: Mirror of Apache Hadoop ZooKeeper

Commits To

Repository	Most Recent Commit	# Commits
krishnakalyan3/Bioinformatics	2016-11-15 09:30:51.0	22

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.