eriklindernoren / NapkinML
A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
☆559Updated last year
Alternatives and similar repositories for NapkinML:
Users that are interested in NapkinML are comparing it to the libraries listed below
- A python module of handy tools and functions, mainly for ML and Kaggle☆333Updated 3 years ago
- OLD REPO - PLEASE USE fastai/fastai☆180Updated 2 years ago
- Neural networks from scratch☆108Updated 4 years ago
- Code and assignment repository for the Imperial College Mathematics department Deep Learning course☆263Updated 6 years ago
- Machine learning algorithms☆112Updated 6 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆317Updated 3 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆273Updated 6 years ago
- ☆107Updated 6 years ago
- Testing framework to simplify writing ML unit tests.☆348Updated 5 years ago
- A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)☆225Updated 6 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 6 years ago
- Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)☆359Updated 3 months ago
- ☆160Updated 6 years ago
- Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?☆263Updated 6 years ago
- ☆60Updated 6 years ago
- Advanced Scikit-learn training session☆118Updated 8 years ago
- Implementation of different machine learning techniques☆94Updated 6 years ago
- Lightweight, Python library for fast and reproducible experimentation☆134Updated 6 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science☆91Updated 5 years ago
- A repo with tutorials for algorithms from scratch☆99Updated 6 years ago
- Machine learning with Python tutorial at MSU Data Science 2018☆109Updated 7 years ago
- A cleaner way to build neural networks for PyTorch.☆184Updated 5 years ago
- Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!☆279Updated 2 years ago
- A Tiny, Pure Python implementation of Gradient Boosted Trees.☆254Updated 4 years ago
- ☆316Updated 7 years ago
- ☆168Updated 6 years ago
- ☆35Updated 5 years ago
- Curated lists of fastai resources: blog posts, twitter threads etc.☆144Updated 5 years ago
- Simple and flexible progress bar for Jupyter Notebook and console☆1,090Updated 7 months ago