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Hi community,
Any thoughts on how we can get some of the lime tool explainers to work on the Open AI Chat Completion models?
Any advise or help appreciated.
Thanks,
Karrtik
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@lievenclement @lgatto @ococrook Thank you for a great tool! I am looking to fit a hurdle model on data I have run through DIANN. In order to do this, should I be utilizing the protein intensity value…
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### Functionality details
1. make changes to the object detection api end point
2. May use tensorflow ml models for the task or add other 3rd party models
3. return the bounding box coordinates …
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I've gone ahead and compiled TF-Lite for the Raspi Architecture without much issue. However, in running it in conjunction with Wyoming-Sattelite, OpenWakeWord is using 100% of the CPU.
As far as I…
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@bharat-b7
Hi, Bharat~
I really interesting about your paper and code, but I have a question about the part probabilities:
For each query point p, you calculate a probability _parts_softmax_ (shap…
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#CVPR2018
Institute: Hikvision
URL: https://arxiv.org/pdf/1805.03384.pdf
Keyword: SceneTextRecognition, __Attention based Encoder-Decoder Network__
Interest: 2
### Summary
- 기존연구의방법론
…
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The decision-making process for how many tokens to generate in response to a prompt, especially in models like ChatGPT, involves several key components designed to ensure the responses are coherent, c…
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Hello,
Is there a predict_proba() method for the LCPPN pipeline ??
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I am currently trying to evaluate the SciBERT model (using in TRAM project) that I have successfully fine-tuned on my own CTI dataset, in this notebook: [Predict single-label SciBERT](https://colab.re…
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- [ ] #118
- The function should take `probs`, `reals`, `stratified_by` and `condition_on` arguments as input.
- The `condition_on` input is "no_condition" by default and `stratified_by` input i…