fastai / numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
☆10,328Updated 9 months ago
Alternatives and similar repositories for numerical-linear-algebra:
Users that are interested in numerical-linear-algebra are comparing it to the libraries listed below
- The 3rd edition of course.fast.ai☆4,912Updated 7 months ago
- Companion webpage to the book "Mathematics For Machine Learning"☆13,593Updated last year
- Machine learning glossary☆3,034Updated 5 months ago
- A collection of IPython notebooks covering various topics.☆2,615Updated 4 years ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,287Updated 3 months ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆27,724Updated 9 months ago
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"☆9,260Updated last year
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆27,113Updated 6 months ago
- A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.☆3,054Updated 2 years ago
- A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.☆8,490Updated this week
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,334Updated 4 years ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,332Updated last month
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,144Updated 4 years ago
- Web interface for browsing, search and filtering recent arxiv submissions☆5,169Updated 3 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,276Updated 2 years ago
- A Code-First Introduction to NLP course☆3,433Updated last year
- Minimal and clean examples of machine learning algorithms implementations☆10,770Updated last year
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,433Updated 2 months ago
- Text and code for the second edition of Think Bayes, by Allen Downey.☆1,854Updated last week
- Public facing notes page☆10,300Updated 5 months ago
- Text and supporting code for Think Stats, 2nd Edition☆4,059Updated 6 months ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆6,628Updated last month
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆18,915Updated 6 months ago
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,782Updated 4 years ago
- this repository accompanies the book "Grokking Deep Learning"☆7,498Updated 7 months ago
- Python programs, usually short, of considerable difficulty, to perfect particular skills.☆23,248Updated 2 weeks ago
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆23,234Updated 2 months ago
- Classical equations and diagrams in machine learning☆7,526Updated 5 months ago
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…☆8,321Updated 3 months ago
- Book about interpretable machine learning☆4,827Updated this week