BoltzmannEntropy / interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
☆4,519Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for interviews.ai
- https://huyenchip.com/ml-interviews-book/☆3,433Updated 4 months ago
- A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth artic…☆2,900Updated last year
- The full minitorch student suite.☆1,910Updated 2 months ago
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.☆4,306Updated last month
- PyTorch tutorials and best practices.☆1,656Updated 2 years ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,344Updated 11 months ago
- NYU Deep Learning Spring 2021☆1,575Updated last month
- Pen and paper exercises in machine learning☆1,937Updated 5 months ago
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆4,973Updated 4 months ago
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"☆9,122Updated last year
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆9,713Updated last year
- A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth articl…☆3,196Updated last year
- Solve puzzles. Learn CUDA.☆9,851Updated 2 months ago
- Data science interview questions and answers☆8,914Updated 2 months ago
- 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱☆2,046Updated this week
- Classical equations and diagrams in machine learning☆7,421Updated 3 months ago
- Companion webpage to the book "Mathematics For Machine Learning"☆13,209Updated 9 months ago
- This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.☆3,885Updated last month
- Probabilistic Machine Learning: Advanced Topics☆1,395Updated 4 months ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,823Updated last year
- The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to exp…☆2,058Updated 4 months ago
- An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites☆4,633Updated 3 months ago
- An unofficial styleguide and best practices summary for PyTorch☆1,927Updated 2 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,500Updated 3 weeks ago
- This repo is meant to serve as a guide for Machine Learning/AI technical interviews.☆4,739Updated 8 months ago
- NYU Deep Learning Spring 2020☆6,693Updated last month
- This repo contains annotated research papers that I found really good and useful☆2,683Updated last week
- The most cited deep learning papers☆25,501Updated 9 months ago
- An open access book on scientific visualization using python and matplotlib☆10,702Updated 9 months ago
- A curated list of references for MLOps☆12,605Updated 4 months ago