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Hello Author,
Could you please suggest if this Bayesian tracker can be implemented for another domain along with any deep learning based object detector.
If yes, can you please let me know if t…
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## 💥 Proposal
Hello, I am Siddhant Dutta - I am a GSSOC'23 Contributor. This is my resume - [Resume](https://drive.google.com/file/d/1iRPv-76FDxEyo-7QdmxDp3le7DEabK-Q/view?usp=sharing)
# Introdu…
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1. [Binary Relevance Efficacy for Multilabel Classification](https://link.springer.com/article/10.1007/s13748-012-0030-x) > https://github.com/Gin04gh/datascience/issues/6#issuecomment-419388287
1. […
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Hey,
great work @hutec.
I have a doubt though, in the paper "What Uncertainties Do We Need in Bayesian Deep
Learning for Computer Vision?", the loss function doesn't invoke the `eps` and `T = 20…
udion updated
6 years ago
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I'm developing a Bayesian sampler called [nautilus](https://github.com/johannesulf/nautilus). It's based on combining importance nested sampling with deep learning. This new sampler has been verified …
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https://arxiv.org/abs/1603.05106
Humans have an impressive ability to reason about new concepts and experiences from just a single example. In particular, humans have an ability for one-shot genera…
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## Reference
- 2015 **SHA - Successive Halving Algorithm** [Non-stochastic Best Arm Identification and Hyperparameter Optimization](https://arxiv.org/abs/1502.07943)
- 2018 **ASHA** [A System for Ma…
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Hi! I've just started using this interactive book to learn about State Space models *for the first time*. I only have experience with Bayesian statistics and standard supervised learning (pretty much …
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great code thanks
Practical-Deep-Learning-for-Coders-2.0/Tabular Notebooks/02_Bayesian_Optimization.ipynb
only can you clarify what to do with tabular data embedding's if new unseen in training d…