Kaytee Flick's starred repositories
Groundbreaking-Papers
ML Research paper summaries, annotated papers and implementation walkthroughs
PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
timeseries-clustering-vae
Variational Recurrent Autoencoder for timeseries clustering in pytorch
census-parquet
Python tools for creating Parquet files from 2020 Census Data
pandas-cookbook
Recipes for using Python's pandas library
Introduction_to_statistical_learning_summary_python
Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
research_code
Writing good research code
intro_to_ml
a 5 day, 10 hour introduction to machine learning mini-course
r-community-explorer
Data-Driven Exploration of the R Community
stats-illustrations
R & stats illustrations by @allison_horst
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville