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Hello, you're doing a great job. However, I've encountered an issue with the line "import Comparative_models.CE as CE". I've looked at questions left by other people, but it might be due to my own pro…
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## Background
Many projects from PS (Site Selection, Initiative, etc) need the functionality of comparing two or more sets of widgets side to side, comparing data from many different sources in diffe…
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The StanfordParser supports a new model based on Compositional Vector Grammars.
These are comparative to the factored parser and faster. Should we switch the
default variant from factored to rnn…
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- [ ] [[2307.05300] Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration](https://arxiv.org/abs/2307.05300)
# [Unleashing …
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#### Is your feature request related to a problem? Please describe
Currently, I am working in a method comparison project. Basically, we want to asess the agreement between two methods for measuring …
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Hello, thank you for your response. Now there is a question:
var-CNN: automatically extracting features from the raw data with ResNet-18 and provide seven basic cumulative features to the model.
DF:…
121Hq updated
8 months ago
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Thank you for providing this useful package of the oblique trees. It's really useful to some academic users like me who currently try to develop a new multivariate tree model. Although you provide the…
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We aim to implement a system that leverages distillation and quantization to create a "child" neural network by combining parameters from two "parent" neural networks. The child network should inherit…
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```
The StanfordParser supports a new model based on Compositional Vector Grammars. These
are comparative to the factored parser and faster. Should we switch the default variant
from factored to rnn w…
-
```
The StanfordParser supports a new model based on Compositional Vector Grammars.
These are comparative to the factored parser and faster. Should we switch the
default variant from factored to rnn…