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Implement some of these models (probably in this order)
- [x] AE
- [ ] AE ensemble (or maybe KitNet?)
- [x] DAGMM = Deep autoencoding gaussian mixture model for unsupervised anomaly detection. Su…
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The [Mixture of Agents (MoA)](https://arxiv.org/abs/2406.04692) is an innovative approach to leveraging the collective strengths of multiple language models to enhance overall performance and capabili…
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related MixedMixin #5502
If we have a finite class mixture, then the mixing probabilities are multinomial.
However, we can use an ordinal model to get monotonicity in the location of the unobser…
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Current autogating approaches in scimap work when markers are well represented but not for low abundance cell populations.
Explore strategies for autogating
- iterative clipping
- alternative gm…
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### Model description
Mixture of Tokens is a new architecture / technique proposed in [Mixture of Tokens: Efficient LLMs through Cross-Example Aggregation](https://arxiv.org/abs/2310.15961) and acc…
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- [ ] [MoA/README.md at main · togethercomputer/MoA](https://github.com/togethercomputer/MoA/blob/main/README.md?plain=1)
# Mixture-of-Agents (MoA)
[![License](https://img.shields.io/badge/License-A…
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Hello, I am trying to write a simple gaussian mixture model using tfp. Basically I want to implement
an MDN with tensorflow probability, but i have a mistake
`from keras.models import Sequent…
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Hello author! May I ask how the test set results obtained from model ensemble were obtained? Is it through the ensemble of several models obtained from a single training session or through multiple tr…
XinGP updated
4 months ago
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For both the mixture and the selection model:
- The model is very sensitive to starting values and some chains have unrealistic departures.
- the model for ET is most stable, but only some pulses fo…
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Dear all
After running the deep cox mixtures, how can I calculate or know the log partial likelihood? Is there a code for that?
The reason I am asking for it is to calculate the Akaiki Informati…