Mathusuthan Kannan's repositories
MIT_OCW_Linear_Algebra_18_06
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
anlp19
Course repo for Applied Natural Language Processing (Spring 2019)
clean-code-ml
:bathtub: Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
cookiecutter-ds-template
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
course-gitbook
Full Stack Deep Learning Course
coursera-ds-algorithms
Codes and notes from UCSD's Data Structures and Algorithms Specialization on Coursera
Coursera_Reinforcement_Learning
Coursera Reinforcement Learning Specialization by by University of Alberta & Alberta Machine Intelligence Institute
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
deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
DL_Topics
List of DL Topics and resources essential for cracking interviews
gluon-nlp
NLP made easy
grokking-system-design
Thanks to lirenTu@scale
instance_level_recognition
The 2nd place solution to the 2020 edition of the Google Landmark Recognition competition
just-blog
Contents for my site https://mathusuthan.com
keras-idiomatic-programmer
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
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
recsys2019
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
Reinforcement-Learning-Specialization
[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"
rosetta_recsys2019
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
seai
CMU 17-445/645: Software Engineering for AI-Enabled Systems
starry-nights
My Personal Web Site
streamlit-launchpad
Browse a folder containing multiple streamlit apps and launch them immediately
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).