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i am sorry to contact with your team in this repository. the issue of CODE-AE (https://github.com/XieResearchGroup/CODE-AE) may be closed.
i have some problem about CODE-AE , and want to consult with…
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In paragraph 4.3 Unsupervised Contrastive Pretraining of the paper Nomic Embed: Training a Reproducible Long Context Text Embedder, the learning rate is set to 2e-5, contrastors/src/contrastors/config…
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Hello friends,
Comment below with questions or thoughts about the reading for the 1st week of Computational Content Analysis 2020. For your reference, it is:
Evans, James and Pedro Aceves. 2016…
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In terms of functionality, the mid-term end goal is to achieve an offering of ML algorithms and pre-processing routines comparable to what is currently available in Python's [`scikit-learn`](https://s…
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I am running the unsupervised learning algorithm on
- 350k Mails and 55 Categories
```
execute(
commands = c("supervised", "-input", train_tmp_file_txt, "-output", tmp_file_model, "-dim", 1…
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Does this code has a new version? The current version we have tried several times, however, not running successfully. Is there any specific settings of make install ? We have tried this code on Mac an…
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- Reproducible environments - conda environments
- Jupyter notebooks - Jupyter Labs too since they are the future
- Physical modeling nympy 2 (integration methods) @dvalters
- Statistical modeling…
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A small typo here:
![image](https://github.com/probml/pml-book/assets/53135486/0cf7da8a-9515-4103-a31c-3d5a521efb76)
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Hey,
is it possible to use hard negatives with this loss? I think for OnlineContrastive and the BatchHard Losses you cannot and need not, since they are computed automatcially, right?
Beside Mul…
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