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Name: Guru Dharmateja Medasani
Type: User
Company: Domino Data Lab
Bio: Data Science Platform Architect
Location: Chicago,IL
Guru Dharmateja Medasani's Projects
data-science-from-scratch
code for Data Science From Scratch book
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.
data.table
R's data.table package extends data.frame. More info:
dataproc-initialization-actions
Run in all nodes of your cluster before the cluster starts - lets you customize your cluster
datasciencecoursera
Materials from data science courses on Coursera
datasciencespecialization.github.io
http://DataScienceSpecialization.github.io
dataset
The Open Images dataset
datasharing
The Leek group guide to data sharing
dbclass-exercises
All the Stanford DB class exercises summarized together
deep-learning-models
Keras code and weights files for popular deep learning models.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deep-residual-networks
Deep Residual Learning for Image Recognition
deep-rl-tensorflow
TensorFlow implementation of Deep Reinforcement Learning papers
deep-text-correcter
Deep learning models trained to correct input errors in short, message-like text
deep-visualization-toolbox
DeepVis Toolbox
deepbach
code accompanying "DeepBach: a Steerable Model for Bach Chorales Generation" paper
deeplearning4j
Distributed Deep Learning Platform for Java, Clojure,Scala
deeplearningflappybird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
deeplearningmovies
Kaggle's competition for using Google's word2vec package for sentiment analysis
deeplearnjs
Hardware-accelerated deep learning // machine learning // NumPy library for the web.
deepnet
Implementation of some deep learning algorithms.
deepschool.io
Deep Learning tutorials in jupyter notebooks.
df
Pandas-like DataFrame DSL on Spark
dist-keras
Distributed deep learning with Keras and Apache Spark.
distributed-graph-analytics
Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks such as Giraph and GraphX. The analytics included are High Betweenness Set Extraction, Weakly Connected Components, Page Rank, Leaf Compression, and Louvain Modularity.
dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
dl-school-2016
TensorFlow Tutorial for Deep Learning School 2016
dl_pytorch
Code for the Deep Learning with PyTorch lesson
dmtk
Microsoft Distributed Machine Learning Toolkit
docker-scripts
Dockerfiles and scripts for Spark and Shark Docker images
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