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Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
Bridging the gap between mathematical courses and ML
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
NYU Course Notes & Resources
Resources for education in statistics and machine learning: from advanced undergraduate to research level
🗣️ Tool to generate adversarial text examples and test machine learning models against them
Materials for ORIE 7191: Topics in Optimization for Machine Learning
python implementation of Peng Ding's "First Course in Causal Inference"
Collection of awesome test-time (domain/batch/instance) adaptation methods
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
Repository for my convex optimization course.
Materials of the Nordic Probabilistic AI School 2022.
Source files of the course "Intermediate Macroeconomics"
Source files of the course "Mathematics for Macroeconomics"
Language model alignment-focused deep learning curriculum
Pen and paper exercises in machine learning
Practicum on Supervised Learning in Function Spaces
Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Repository for my Big Data Optimization course
This is a collection of papers and other resources related to fairness.
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Repository for notes, projects and snippets on NODEs. Includes results after training CNN based networks with different methods on MNIST, CIFAR-10, CelebA and CatsAndDogs datasets accordingly.