rasbt / numpy-intro-blogarticle-2020Links
Jupyter Notebook for the "Scientific Computing in Python: Introduction to NumPy and Matplotlib" blog article
☆50Updated 4 years ago
Alternatives and similar repositories for numpy-intro-blogarticle-2020
Users that are interested in numpy-intro-blogarticle-2020 are comparing it to the libraries listed below
Sorting:
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆56Updated last year
- A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematic…☆63Updated 5 years ago
- The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.☆30Updated 6 years ago
- Code for the training session at ODSC Europe 2022☆11Updated 3 years ago
- ☆22Updated 5 years ago
- ☆134Updated last year
- advent of code 2021☆13Updated 4 years ago
- Using computational thinking to get deep insights on the foundations of linear algebra☆116Updated 9 months ago
- Python Tools for Data Science, Machine Learning, and Scientific computing☆40Updated 3 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆54Updated 4 years ago
- Deep Learning with fastai Cookbook, published by Packt☆62Updated last month
- Essential mathematics for applied machine learning and data science☆81Updated 3 years ago
- Numpy-Tutorial-SciPyConf-2019☆100Updated 3 years ago
- One day workshop for machine learning with scikit-learn☆62Updated 2 years ago
- ML implementations for practical use☆15Updated 5 years ago
- Numpy-Tutorial-SciPyConf-2020☆29Updated 3 years ago
- Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)☆25Updated 5 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 5 years ago
- Course material for 1RT700 Statistical Machine Learning☆63Updated last month
- ☆92Updated 4 years ago
- Deep Learning From Scratch☆139Updated 2 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆138Updated 5 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆300Updated 5 years ago
- Repository of textbooks and articles in Computer Science☆62Updated 5 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆140Updated 6 years ago
- Applied Probability Theory for Everyone☆121Updated last year
- Notebooks for a course☆41Updated 6 years ago
- Deep Learning from Scratch with PyTorch☆121Updated 5 years ago
- Artificial Intelligence By Example Second Edition, published by Packt☆51Updated 5 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆576Updated 5 years ago