rmunro/active_learning_imagenet

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Python
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Apache License 2.0
Created about 7 years ago
Updated about 7 years ago

rmunro/active_learning_imagenet

rmunro

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Coding exercise to extend tensorflow for imagenet to active learning, for use in a job interview or similar.

pytorch_active_learning

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

uncertainty_sampling_numpy

NumPy implementations of common Active Learning strategies for Uncertainty Sampling

unicode_image_generator

Generates an image for every unicode character

active_learning_class

Code for class on Deep Active Learning and Annotation

disaster_response_messages

This dataset contains 25,000 messages drawn from events including an earthquake in Haiti in 2010, floods in Pakistan in 2010, super-storm Sandy in the U.S.A. in 2012, and news articles spanning a large number of years and 100s of different disasters. The data has been encoded with 38 different categories related to disaster response and has been stripped of messages with sensitive information in their entirety.

headlines

Practical example from Human-in-the-Loop Machine Learning book

annotation_imagenet

Coding exercise to extend to create an annotation tool for ImageNet labels on Machine Learning output

food_safety

Practical example from Human-in-the-Loop Machine Learning book

bicycle_detection

Practical example from Human-in-the-Loop Machine Learning book

deep_learning_course

Jupyter Notebook

gender_augmentation

human-in-the-loop synthetic data generation to augment the universal dependencies corpus with gender-balanced independent possessive pronouns

chichewa

Morphological parser for the Chichewa language