Ramesh Kumar Singh's repositories
caffe
Caffe: a fast open framework for deep learning.
Data-Science-45min-Intros
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-bayesian-deep-learning
A curated list of resources dedicated to bayesian deep learning
Mocha.jl
Deep Learning framework for Julia
algorithms
Minimal examples of data structures and algorithms in Python
free-data-science-books
Free resources for learning data science
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
DataScienceResources
Open Source Data Science Resources.
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
awesome-courses
:books: List of awesome university courses for learning Computer Science!
Technical-eBooks
PDFs for programming tutorials.
scipy-2016-sklearn
Scikit-learn tutorial at SciPy2016
pydeeplearn
Deep learning API with emotion recognition application
pydata-dc-2016-tutorial
Tutorial: Machine Learning with Text in scikit-learn
parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
LearnDataScience
Open Content for self-directed learning in data science
deeppy
Deep learning in Python
Introduction-Programming-Python
All of the slides, answer files and other solutions used during the Introduction to Programming
udacity-reflections
Learning Git and Github