ramkashyap-s's Stars
pablomarin/Meetups-Data-AI-DFW
Content for Meetups for DATA & AI - Microsoft DFW
dive-into-machine-learning/dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
RodneyShag/DocumentClassification
Spam classification and sentiment analysis on text documents.
strawlab/pyopy
Python bindings to interesting matlab libraries for data analysis
benfulcher/hctsa
Highly comparative time-series analysis
hsharrison/pypsr
Phase-space reconstruction in Python.
ponl/DioNpy
Python front-end for Dionysus which produces persistence diagrams as Numpy arrays.
SudharakaP/SocialNetworks
Analyzing Social Networks - Capstone Project
SudharakaP/MaximalCliques
Maximal Cliques and Closeness Centrality of a Social Network
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
kalaidin/data-streams-algorithms
caesar0301/graphsim
Graph similarity algorithms based on NetworkX.
chrisjmccormick/MinHash
Example Python code for comparing documents using MinHash
ekzhu/datasketch
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
eseifert/gral
Free Java library for displaying plots
umontreal-simul/ssj
Stochastic Simulation in Java
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
robin-thomas/GDFS
Google Drive File System
libfuse/libfuse
The reference implementation of the Linux FUSE (Filesystem in Userspace) interface
YePpHa/YouTubeCenter
YouTube Center is a userscript designed to expand the functionality of YouTube. It includes the ability to download the video you're watching, auto selecting your preferred video quality and much more.
EbookFoundation/free-programming-books
:books: Freely available programming books
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
lintool/MapReduceAlgorithms
Data-Intensive Text Processing with MapReduce
zenkay/bigdata-ecosystem
BigData Ecosystem Dataset
klarsen1/Information
Information Package
ledell/useR-machine-learning-tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
tarun3kumar/javatutorial
Java Tutorial
Wikia/selenium-tests
gwenshap/SparkStreamingExample
InitialDLab/Simba
Spatial In-Memory Big data Analytics