eriklindernoren / NapkinMLLinks
A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
☆568Updated 2 years ago
Alternatives and similar repositories for NapkinML
Users that are interested in NapkinML are comparing it to the libraries listed below
Sorting:
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆275Updated 7 years ago
- Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost☆422Updated 6 years ago
- Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?☆264Updated 6 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 7 years ago
- ☆107Updated 7 years ago
- live coding deep learning library☆329Updated 5 years ago
- A python module of handy tools and functions, mainly for ML and Kaggle☆335Updated 4 years ago
- Neural networks from scratch☆108Updated 5 years ago
- A high-level, rapid development framework for machine learning projects☆345Updated last year
- OLD REPO - PLEASE USE fastai/fastai☆181Updated 2 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science☆91Updated 6 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆269Updated 5 years ago
- Machine learning with Python tutorial at MSU Data Science 2018☆109Updated 7 years ago
- Machine learning algorithms☆113Updated 6 years ago
- Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!☆281Updated 2 years ago
- A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)☆228Updated 7 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆317Updated 3 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆492Updated 6 years ago
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆209Updated 2 years ago
- ☆60Updated 7 years ago
- Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)☆382Updated 8 months ago
- Curated lists of fastai resources: blog posts, twitter threads etc.☆145Updated 5 years ago
- Lightweight, Python library for fast and reproducible experimentation☆136Updated 6 years ago
- Various ML/DL Resources organised at a single place.☆189Updated 4 years ago
- Testing framework to simplify writing ML unit tests.☆346Updated 5 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆311Updated 3 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Implementation of different machine learning techniques☆94Updated 7 years ago
- ☆169Updated 6 years ago