muellerzr / nbdev_colab
Utilizing nbdev in Google Colaboratory
☆14Updated last year
Related projects ⓘ
Alternatives and complementary repositories for nbdev_colab
- ☆22Updated 4 years ago
- Information for readers of the fastai book☆67Updated 4 years ago
- The ntentional blog - a machine learning journey☆23Updated 2 years ago
- Notebooks for Fastai Viusal Guide☆25Updated last year
- A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges☆63Updated 2 years ago
- Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021☆18Updated 3 years ago
- Tutorials for getting the most out of Matplotlib☆23Updated 3 years ago
- The fast.ai data ethics course☆14Updated last year
- A tutorial example for nbdev☆15Updated 2 years ago
- A minimal template for creating a pypi package☆49Updated 3 years ago
- An easy way to start a python programming environment using GitHub Codespaces.☆15Updated 4 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 5 years ago
- Demo bear classifier with fastai and Voila☆40Updated last year
- A fastai-free onnx implementation for fastai☆12Updated last year
- Stats 479 Project☆22Updated 5 years ago
- Get packages onto your conda channel faster☆22Updated last month
- Strategies to deploy deep learning models☆27Updated 6 years ago
- Process, visualize and use data easily.☆20Updated last year
- Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization☆16Updated 5 years ago
- Materials for the SciPy 2019 RAPIDS tutorial☆21Updated 5 years ago
- Repo for work on deep learning for tabular data☆14Updated 4 years ago
- Research repo for code that may or may not end up in fastai3☆50Updated 3 years ago
- Starter template for image recognition server with FastAPI☆24Updated 4 years ago
- A Starlette example for deployment in fastai2☆11Updated 3 years ago
- A PyTorch only inference wrapper for fastai☆12Updated last year
- A few baselines with a standard tabular model☆38Updated 4 years ago
- Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)☆25Updated 4 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 5 years ago