Tanay Sood's Projects
Algorithms for explaining machine learning models
Coursework for Springboard Data Science Career Track
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Docker Apache Airflow
Collection of eclectic utils for python.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110).
Apache Airflow (Incubating)
Deep Learning for humans
Bonus materials, exercises, and example projects for our Python tutorials
Memray is a memory profiler for Python
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Neural Networks: Zero to Hero
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python best practices guidebook, written for humans.
Python Data Science Handbook: full text in Jupyter Notebooks
Python programs to practice or demonstrate skills.
Best Practices on Recommendation Systems
repository for research papers
Config files for my GitHub profile.
Temporian is an open-source Python library for preprocessing ā” and feature engineering š temporal data š for machine learning applications š¤
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"