Mathusuthan Kannan's repositories
Aide-Memoire
Data Science Cheat Sheets
MIT_OCW_Linear_Algebra_18_06
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
anlp19
Course repo for Applied Natural Language Processing (Spring 2019)
coursera-ds-algorithms
Codes and notes from UCSD's Data Structures and Algorithms Specialization on Coursera
cs229-ps-2018
My solutions to the problem sets of Stanford cs229, 2018
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
deepar
Tensorflow implementation of Amazon DeepAR
nn4nlp-code
Code Samples from Neural Networks for NLP
random-forest-importances
Code to compute permutation and drop-column importances in Python scikit-learn random forests
rosetta_recsys2019
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
scala-fun
Functional Programs in Scala
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).