-
**Is your feature request related to a problem? Please describe.**
Ive recently come across this project and feel like it could help to improve organic maps search results ranking:
https://nominat…
-
The pipeline for grading a paper produces a series of yes/no answers to questions meant to determine the quality of the paper for CoT extraction.
Requirements:
* An algorithm that converts the s…
-
The HPLT dataset includes a fluency score. We should look at filtering our own data by this fluency metric, and see if it improves.
https://hplt-project.org/datasets/v1.2
I assume this would be …
-
Hi,
Is there a way to score some documents higher than others? Something like `weight` in whoosh?
For example:
In an ecommerce site, we can have a `popularity` field for each items. And when us…
-
In this issue, I detail the investigation into the impact of relapse in survival rates. This was done in the code `model_training/primitive_vs_metastasis_model.py` with the following command:
```c…
-
As a strategy to remove generic answers/nodes, it was suggested that filtering out semmeddb records based on the novelty score could be useful. Novelty is (very briefly) described in https://lhncbc.n…
-
I want correlate to start paying attention to the order of "keys" added. Consider this input:
dataset A:
"A" "big" "wonderful" "mouse" -> value X
dataset B:
"Let's" "get" "that" "…
-
### Model
Drug-likeness scoring based on unsupervised learning - eos9p4a
### Molecules
COc1ccc(c(oc2cc(O)c(OC)c(O)c23)c(OC)c3=O)cc1
OCC1C(O)C(O)C(O)C(OC2=C(O)C=C(COC(C3=CC(O)=C(O)C(O)=C3OC4=CC(C(O…
-
### Model
Drug-likeness scoring based on unsupervised learning - eos9p4a
### Molecules
COc1ccc(c(oc2cc(O)c(OC)c(O)c23)c(OC)c3=O)cc1
OCC1C(O)C(O)C(O)C(OC2=C(O)C=C(COC(C3=CC(O)=C(O)C(O)=C3OC4=CC(C(O…
-
![image](https://github.com/user-attachments/assets/f9cee776-1907-433d-8eb9-d83373ac2fce)
it should be R^n->R, R^n->R^n, not R^d, because n is the dimension of x in the formulation, right?
by the wa…