Davide Fiocco davidefiocco
davidefiocco
/ dataset.jsonl
Last active
July 7, 2022 17:20
Example prodigy recipe to use a zero-shot classifier to pre-classify examples when performing labeling for text classification (see https://support.prodi.gy/t/can-one-leverage-zero-shot-classifiers-for-textcat-tasks/4885)
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| {"text":"Spam spam lovely spam!"} | |
| {"text":"I like scrambled eggs."} | |
| {"text":"I prefer spam!"} |
davidefiocco
/ text-classification-in-pytorch-to-refactor-with-pytorch-lightning.ipynb
Last active
March 1, 2021 22:03
Text classification in PyTorch to refactor with PyTorch lightning.ipynb
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davidefiocco
/ text-classification-in-pytorch-to-refactor-with-petastorm.ipynb
Last active
February 15, 2021 17:58
Text classification in PyTorch to refactor with petastorm.ipynb
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davidefiocco
/ copyedits.jsonl
Created
November 5, 2020 17:59
Prodigy recipe to categorize differences in text
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| {"removed":"These results suggested that the distribution of bacterial communities was driven more by sample types than the separate caves from which samples were collected.","added":"These results suggest that the distribution of bacterial communities is driven more by sample types than the separate caves from which samples were collected.","meta":{"score":1}} |
davidefiocco
/ azureml-logging-on-transformers.ipynb
Created
October 23, 2020 16:04
AzureML logging on transformers.ipynb
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| gst-launch-1.0 v4l2src device=/dev/video0 ! xvimagesink |
davidefiocco
/ test_transforms.py
Created
May 19, 2020 12:18
Test torchvision tranforms on a bunch of images
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| from torchvision import datasets, models, transforms | |
| from PIL import Image | |
| import torch | |
| import matplotlib.pyplot as plt | |
| from pathlib import Path | |
| images = list(Path('../foo').glob('**/*.*')) | |
| example = images.pop() | |
| img = Image.open(example).convert('RGB') |
davidefiocco
/ copy-of-interpretation.ipynb
Last active
August 6, 2022 03:07
@NarineK solution for BERT interpretation in https://github.com/pytorch/captum/issues/311#issuecomment-612460705
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