brohrer / taming_matplotlib
Tutorials for getting the most out of Matplotlib
☆22Updated 4 years ago
Alternatives and similar repositories for taming_matplotlib:
Users that are interested in taming_matplotlib are comparing it to the libraries listed below
- Collection of simple functions reusable across ML projects.☆20Updated 3 years ago
- ☆22Updated 4 years ago
- Utilizing nbdev in Google Colaboratory☆14Updated 2 years ago
- The ntentional blog - a machine learning journey☆23Updated 2 years ago
- An easy way to start a python programming environment using GitHub Codespaces.☆15Updated 4 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 4 years ago
- A tutorial example for nbdev☆15Updated 3 years ago
- Notebooks for Fastai Viusal Guide☆25Updated 2 years ago
- The fast.ai data ethics course☆15Updated 2 years ago
- Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021☆19Updated 3 years ago
- A minimal template for creating a pypi package☆49Updated 4 years ago
- ☆13Updated 6 years ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago
- Helper scripts I use to run many experiments in the morning to check at night☆19Updated 3 years ago
- ☆26Updated 2 years ago
- Neural networks in pandas☆51Updated 3 years ago
- 🔥 Introductory PyTorch tutorials with OReilly Media.☆58Updated 2 years ago
- Two hour interactive machine learning workshop☆22Updated 5 years ago
- Machine Learning / Deep Learning Environment. Everywhere. Anywhere.☆50Updated 4 years ago
- ☆92Updated 3 years ago
- Materials for the SciPy 2019 RAPIDS tutorial☆22Updated 5 years ago
- Code accompanying the "Debugging machine learning in production" talk☆29Updated 3 years ago
- A Browser Extension That Notifies You When Jupyter Notebook Code Cells Terminate☆45Updated 4 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- A queue service for quickly developing scripts that use all your GPUs efficiently☆83Updated 2 years ago
- ML implementations for practical use☆15Updated 4 years ago
- Strategies to deploy deep learning models☆27Updated 6 years ago
- SKIP for AI☆21Updated 5 years ago
- A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges☆63Updated 2 years ago
- Stats 479 Project☆22Updated 5 years ago