-
```
I have a background unigram model (bg.arpa), some additional training data
(train.txt) and some dev text (dev.txt). I want to create an interpolated
unigram that optimizes the perplexity of dev.tx…
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In the R package flexmix, I can specify a model for the priors, rather than just a vector a numbers. The model can depend on some arbitrary set of associated variables, called concomitant variables.
…
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https://github.com/jazzband/django-payments/blob/7b23efdd36e6a1cdcf4e876caebce621565b8db2/payments/models.py#L118
Hey there,
Can we add the current timestamp as well to the token string? UUID will…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussi…
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From SIPHER talks there was interest in limiting probabilities. I.E. what is the drift in SF-12 state due to transition models over long term forecasting. Expect it to drift down. If it does how can w…
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Hey all,
I've been thinking more about how to improve interoperability for Stan and how Stan users
can take advantage of additional performance gains by possibly switching over stan models to be s…
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### General Info
**Module:** `nltk.lm`
**Type:** Performance
**Impact:** High
### Issue
Most ngram language models perform redundant operations causing a high performance impact
### Details
###…
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Hi Team,
Sorry for posting many questions, I hope this will help others navigate through building high quality models :)
I've trained a two tower model, and checking the possibility of using it…
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I aim to the following sigmoid-outputting models for team formation:
1. Neural Collaborative Filtering (NCF) with MLP/FNN:
- NCF has demonstrated success in recommendation systems and collaborat…
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**Is your feature request related to a problem? Please describe.**
The current framework for tuning is rather inflexible and makes combining ideas from different tuning strategies difficult. We want …