Suyog Chandramouli's starred repositories
cookiecutter
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
corati_home
A collection of user models and parameter estimation methods.
roam-highlighter
Chrome highlighter that quickly and easily puts your highlights into Roam format for easy pasting into your notes.
webppl-oed
Optimal Experiment Design for WebPPL models
digital-gardeners
Resources, links, projects, and ideas for gardeners tending their digital notes on the public interwebs
awesome-roam
A curated list of https://roamresearch.com/ resources
chrome-anki-quick-adder
This chrome extension provides the ability to create Anki cards directly from Google Chrome on your Anki Desktop.
BDA_course_Aalto
Bayesian Data Analysis course at Aalto
matrixStats
R package: Methods that Apply to Rows and Columns of Matrices (and to Vectors)
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
MScStatisticsNotes
These are cheat sheets and notes I made as part of an MSc in Statistics, at the University of Sheffield, UK.
BDA_R_demos
Bayesian Data Analysis demos for R
anki-onenote-importer
This Anki addon can import .mht files exported from OneNote
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
analytical-tutorials
Tutorials for writing analytical scripts
scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.