fastai / fastbook
The fastai book, published as Jupyter Notebooks
☆22,714Updated 6 months ago
Alternatives and similar repositories for fastbook:
Users that are interested in fastbook are comparing it to the libraries listed below
- The fast.ai course notebooks☆2,758Updated 5 months ago
- A curated list of references for MLOps☆12,949Updated 3 months ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆18,169Updated this week
- Tutorials, assignments, and competitions for MIT Deep Learning related courses.☆10,251Updated last year
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆27,215Updated 8 months ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,449Updated 10 months ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,322Updated 5 months ago
- Data science interview questions and answers☆9,195Updated 2 weeks ago
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆24,329Updated last year
- The fastai deep learning library☆26,723Updated last week
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆25,189Updated 6 months ago
- A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training☆21,535Updated 6 months ago
- 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.☆27,796Updated 7 months ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,314Updated last year
- A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API☆11,372Updated 7 months ago
- This repository contains demos I made with the Transformers library by HuggingFace.☆10,114Updated last month
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.☆4,323Updated 4 months ago
- A collection of various deep learning architectures, models, and tips☆16,908Updated last year
- Explanation to key concepts in ML☆7,489Updated this week
- NYU Deep Learning Spring 2020☆6,733Updated 2 weeks ago
- A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.☆7,624Updated 2 years ago
- Trax — Deep Learning with Clear Code and Speed☆8,174Updated last month
- https://huyenchip.com/ml-interviews-book/☆3,635Updated 8 months ago
- A Code-First Introduction to NLP course☆3,441Updated last year
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆38,283Updated 6 months ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆17,986Updated 4 years ago
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"☆9,338Updated last year
- Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.☆4,875Updated 7 months ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,415Updated last year
- The 3rd edition of course.fast.ai☆4,915Updated 9 months ago