Pinned Repositories
2018fall
2018spring
Aide-Memoire
Data Science Cheat Sheets
anlp19
Course repo for Applied Natural Language Processing (Spring 2019)
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
MIT_OCW_Linear_Algebra_18_06
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
sparkles
Programs in Spark
mathusuthan's Repositories
mathusuthan/MIT_OCW_Linear_Algebra_18_06
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
mathusuthan/2018fall
mathusuthan/anlp19
Course repo for Applied Natural Language Processing (Spring 2019)
mathusuthan/clean-code-ml
:bathtub: Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
mathusuthan/course-gitbook
Full Stack Deep Learning Course
mathusuthan/coursera-ds-algorithms
Codes and notes from UCSD's Data Structures and Algorithms Specialization on Coursera
mathusuthan/Coursera_Reinforcement_Learning
Coursera Reinforcement Learning Specialization by by University of Alberta & Alberta Machine Intelligence Institute
mathusuthan/cs229-ps-2018
My solutions to the problem sets of Stanford cs229, 2018
mathusuthan/data-science-template
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
mathusuthan/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
mathusuthan/deepar
Tensorflow implementation of Amazon DeepAR
mathusuthan/deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
mathusuthan/DL_Topics
List of DL Topics and resources essential for cracking interviews
mathusuthan/DLFS_code
Code for the book Deep Learning From Scratch, from O'Reilly September 2019
mathusuthan/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
mathusuthan/grokking-system-design
Thanks to lirenTu@scale
mathusuthan/instance_level_recognition
The 2nd place solution to the 2020 edition of the Google Landmark Recognition competition
mathusuthan/just-blog
Contents for my site https://mathusuthan.com
mathusuthan/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
mathusuthan/lessons
📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!
mathusuthan/nn4nlp-code
Code Samples from Neural Networks for NLP
mathusuthan/random-forest-importances
Code to compute permutation and drop-column importances in Python scikit-learn random forests
mathusuthan/recsys2019
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
mathusuthan/Reinforcement-Learning-Specialization
[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"
mathusuthan/rosetta_recsys2019
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
mathusuthan/samplemod
mathusuthan/seai
CMU 17-445/645: Software Engineering for AI-Enabled Systems
mathusuthan/streamlit-launchpad
Browse a folder containing multiple streamlit apps and launch them immediately
mathusuthan/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
mathusuthan/Voyager
An Open-Ended Embodied Agent with Large Language Models