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- Update existing cosine similarity model
- User's skills must be matched to all courses' skills and similarity score must be computed
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## Description
Knowledge graph triples are generated by providing prompts to LLMs. Due to constraints like context length and the need for better output quality, the unstructured text is processed in …
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It appears that the sklearn `cosine_similarity` function can sometimes output values just slightly above 1. This has been reported and is under discussion within scikit-learn (https://github.com/sciki…
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Hello,
I'm working on a project that use graph neural networks, using embedding of bounding boxes images of persons and their similarity.
The model i use is OSNet-AIN, because according to the res…
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**#searchEngine**
import os
import nltk
import string
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
# S…
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Hi, I tried replicating the audio to text retrieval results using the PyPI library and the hugging face implementation, however the obtained numbers do not match with those reported in the paper.
For…
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Just want to say thanks for this! I've been trying to use other peoples' code that all use the `transformer_lens` library and it has a bug that stops you loading models in 4bit, seems to have loads of…
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Only uses L2 distance for now
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`
class TPS(M.Module):
def __init__(self, variant='dTPS'):
...
def forward(self, reserved, pruned, now_reserved_policy, now_pruned_policy):
...
B, N, _ = reserve…
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hi, thank you for this great work!
I was wondering if you could share the code (or provide some guidance) to reproduce the results in Figure 4.c about the composable understand and how to perform em…