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In D&D (and Torchbearer) players assemble their adventurers and send them out into the unknown (to them at least). There, they fight monsters and seize treasure to bring back to civilization. You don’t really need to even squint to see that these stories are cut from the same cloth.
A PyTorch model fitting library designed for use by researchers (or anyone really) working in deep learning or differentiable programming. Specifically, we aim to dramatically reduce the amount of boilerplate code you need to write without limiting the functionality and openness of PyTorch.
10 de sept. de 2018 · We introduce torchbearer, a model fitting library for pytorch aimed at researchers working on deep learning or differentiable programming. The torchbearer library provides a high level metric and callback API that can be used for a wide range of applications.
- Ethan Harris, Matthew Painter, Jonathon S. Hare
- arXiv:1809.03363 [cs.LG]
- 2018
- 5 pages
- Install
- Citing Torchbearer
- Related
The easiest way to install torchbearer is with pip: pip install torchbearer Alternatively, build from source with: pip install git+https://github.com/pytorchbearer/torchbearer
If you find that torchbearer is useful to your research then please consider citing our preprint: Torchbearer: A Model Fitting Library for PyTorch, with the following BibTeX entry:
Torchbearer isn't the only library for training PyTorch models. Here are a few others that might better suit your needs (this is by no means a complete list, see the awesome pytorch list or the incredible pytorchfor more): 1. skorch, model wrapper that enables use with scikit-learn - crossval etc. can be very useful 2. PyToune, simple Keras style A...
Downloads. We’ve gathered together a number of free materials to help you run and play Torchbearer. Enjoy! You’ll find more Torchbearer products, including adventures, at our store.
Using DistributedDataParallel with Torchbearer on CPU. Setup, Cleanup and Model; Sync Methods; Worker Function; Running; Running on machines with GPUs; Source Code; Using the Tensorboard Callback. Setup; Logging the Model Graph; Logging Batch Metrics; Logging Epoch Metrics; Source Code; Logging to Visdom. Model Setup; Logging Epoch and Batch ...
The Torchbearer Series. 6 videos 896 views Last updated on Jan 15, 2020. The three-part core Torchbearer Series lectures, plus additional Page Briefing (PB) lectures. Play all.
