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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
List of papers studying machine learning through the lens of category theory
Leetcode Premium Unlocker 2024
Contains Company Wise Questions sorted based on Frequency and all time
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.
A curated awesome list of lists of interview questions. Feel free to contribute! 🎓
Investment Research for Everyone, Everywhere.
📚A repository that contains all the Data Structures and Algorithms concepts and solutions to various problems in Python3 stored in a structured manner.👨💻🎯
Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.
A complete computer science study plan to become a software engineer.
My own leetcode solutions by python
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
A repository of links with advice related to grad school applications, research, phd etc
Dora is an experiment management framework. It expresses grid searches as pure python files as part of your repo. It identifies experiments with a unique hash signature. Scale up to hundreds of exp…
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Book about interpretable machine learning
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Answers to 120 commonly asked data science interview questions.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
LaTeX files for the Deep Learning book notation