Deep-Learning-Experiments
conformal_classification
| Deep-Learning-Experiments | conformal_classification | |
|---|---|---|
| 1 | 2 | |
| 1,081 | 211 | |
| - | - | |
| 8.3 | 0.0 | |
| about 1 month ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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Deep-Learning-Experiments
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EEE 197 - Deep Learning
Hello, took the course last sem. Maraming napa-drop sa amin dahil sa difficulty nung assignments pero doable naman. Open-source mismo yung course, available sya sa GitHub: https://github.com/roatienza/Deep-Learning-Experiments
conformal_classification
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[P] 🚀 AWS launches Fortuna, an open-source library for Uncertainty Quantification
What is the best end-to-end example showing it? https://github.com/awslabs/fortuna/blob/main/examples/mnist_classification.ipynb ? It would be nice to have some visual explainer, as in https://github.com/aangelopoulos/conformal_classification .
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[R] Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification - Link to a free online lecture by the author in comments
Uncertainty Sets for Image Classifiers using Conformal Prediction https://arxiv.org/abs/2009.14193 https://github.com/aangelopoulos/conformal_classification
What are some alternatives?
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geomstats - Computations and statistics on manifolds with geometric structures.
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
edward2 - A simple probabilistic programming language.