eriklindernoren / NapkinML
A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
☆557Updated 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
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 6 years ago
- OLD REPO - PLEASE USE fastai/fastai☆180Updated 2 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆274Updated 6 years ago
- ☆107Updated 6 years ago
- Code and assignment repository for the Imperial College Mathematics department Deep Learning course☆263Updated 6 years ago
- Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost☆422Updated 6 years ago
- ☆168Updated 6 years ago
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆206Updated last year
- ☆160Updated 6 years ago
- Implementation of different machine learning techniques☆94Updated 6 years ago
- Personal data science and machine learning toolbox☆365Updated 5 years ago
- UI visual interface for fastai - now compatible with Google Colab☆250Updated 4 years ago
- ☆316Updated 7 years ago
- Curated lists of fastai resources: blog posts, twitter threads etc.☆144Updated 5 years ago
- Machine learning algorithms☆112Updated 5 years ago
- Neural networks from scratch☆108Updated 4 years ago
- Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!☆278Updated last year
- A Tiny, Pure Python implementation of Gradient Boosted Trees.☆254Updated 4 years ago
- live coding deep learning library☆327Updated 4 years ago
- Deploy AutoML as a service using Flask☆226Updated 7 years ago
- Map of deep learning and notes from papers.☆79Updated 6 years ago
- A high-level, rapid development framework for machine learning projects☆345Updated last year
- ☆232Updated 3 years ago
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆224Updated 5 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆69Updated 5 years ago
- A few notebooks about deep learning in pytorch☆581Updated 6 years ago
- All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1☆69Updated 6 years ago
- A cleaner way to build neural networks for PyTorch.☆184Updated 5 years ago
- Testing framework to simplify writing ML unit tests.☆348Updated 5 years ago