parulpan's Stars
harvardnlp/annotated-transformer
An annotated implementation of the Transformer paper.
emilegill743/emile-notes
Data Science/Programming notes
WillKoehrsen/hyperparameter-optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
aws-samples/aws-mlu-explain
Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
jonkrohn/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
neonwatty/machine_learning_refined
Notes, Python demos / notebooks, and free chapters for the 2nd edition of the university textbook "Machine Learning Refined".
luonglearnstocode/Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization
My Solutions to Programming Assignments from the Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization course by deeplearning.ai
https-deeplearning-ai/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
fawazsammani/The-Complete-Neural-Networks-Bootcamp-Theory-Applications
Code Files for the Udemy Course: The Complete Neural Networks Bootcamp: Theory, Applications
christophM/interpretable-ml-book
Book about interpretable machine learning
parrt/random-forest-importances
Code to compute permutation and drop-column importances in Python scikit-learn models
SpringerXAI/ExplainableAI
Config files for my GitHub profile.