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[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Answers to 120 commonly asked data science interview questions.
Public quant internship repository, maintained by NUFT but available for everyone.
A curated list of fellowships for graduate students in Computer Science and related fields.
🟣 Pytorch interview questions and answers to help you prepare for your next machine learning and data science interview in 2025.
Compilation of resources for aspiring data scientists
Data science interview questions and answers
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Carefully curated resource links for data science in one place
VR headset system designed for productivity, acting as an extended display
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
The fundamental package for scientific computing with Python.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A toolkit for developing and comparing reinforcement learning algorithms.
A modern Wine wrapper for macOS built with SwiftUI
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
Collection of Summer 2026 tech internships!
🎓 Path to a free self-taught education in Computer Science!