Alternatives and similar repositories for taming_matplotlib

Users that are interested in taming_matplotlib are comparing it to the libraries listed below

• fastai / book.fast.ai
  Information for readers of the fastai book
  ☆68Updated 4 years ago
• muellerzr / nbdev_colab
  Utilizing nbdev in Google Colaboratory
  ☆14Updated 2 years ago
• ai-fast-track / fastai-visual-guide
  Notebooks for Fastai Viusal Guide
  ☆25Updated 2 years ago
• amitness / fns
  Collection of simple functions reusable across ML projects.
  ☆20Updated 4 years ago
• charlesfrye / panndas
  Neural networks in pandas
  ☆51Updated 3 years ago
• msaroufim / ML-devops
  Helper scripts I use to run many experiments in the morning to check at night
  ☆20Updated 4 years ago
• morganmcg1 / ntentional
  The ntentional blog - a machine learning journey
  ☆23Updated 2 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 4 years ago
• DanielhCarranza / ml-production-template
  This codebase is a starting point to get your Machine Learning project into Production.
  ☆43Updated 4 years ago
• sayakpaul / Spatial-Transformer-Networks-with-Keras
  This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.
  ☆37Updated 3 years ago
• j-cunanan / MLT-contributions
  ☆22Updated 4 years ago
• Quansight / scipy-2019-rapids-tutorial
  Materials for the SciPy 2019 RAPIDS tutorial
  ☆22Updated 5 years ago
• fastai / fastdot
  A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges
  ☆63Updated 2 years ago
• jph00 / notes
  Stuff I find (see issues)
  ☆39Updated 4 years ago
• jph00 / hello_nbdev
  A tutorial example for nbdev
  ☆15Updated 3 years ago
• shreyashankar / debugging-ml-talk
  Code accompanying the "Debugging machine learning in production" talk
  ☆29Updated 3 years ago
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆16Updated 2 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 6 years ago
• fastai / tinykernel
  A minimal Python kernel so you can run Python in your Python
  ☆39Updated 3 years ago
• machine-learning-apps / wandb-action
  GitHub Action That Retrieves Model Runs From Weights & Biases
  ☆60Updated 3 years ago
• Atharva-Phatak / torchflare
  TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.
  ☆85Updated last week
• pytorch-ignite / examples
  Examples, tutorials, and how-to guides
  ☆11Updated 9 months ago
• n2cholas / shapecheck
  Framework-agnostic library for checking array/tensor shapes at runtime.
  ☆46Updated 4 years ago
• fastai / pagegraph
  Draw, modify, and execute graphs using a simple python dict interface
  ☆30Updated 2 years ago
• sicara / dvc-streamlit-example
  Dvc + Streamlit = ❤️
  ☆40Updated last year
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆81Updated 5 years ago
• Quansight / pytest-pytorch
  pytest plugin for a better developer experience when working with the PyTorch test suite
  ☆44Updated 3 years ago
• oke-aditya / quickvision
  An Easy To Use PyTorch Computer Vision Library
  ☆52Updated 2 years ago
• naraB / jupyter-notifier
  A Browser Extension That Notifies You When Jupyter Notebook Code Cells Terminate
  ☆45Updated 5 years ago
• fastai / fastai3
  Research repo for code that may or may not end up in fastai3
  ☆50Updated 4 years ago