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Hello again! I am a maintainer of [pubgrub-rs](https://github.com/pubgrub-rs/pubgrub), which is a different dependency resolution algorithm written in Rust. It would be lovely if our projects found wa…
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Hello author, thank you for your answer to the previous issue. Through your suggestions, your method has been successfully repeated, and the results are better than those of the previous code.
The re…
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Guessit could use [Aho-Corasick algorithm](https://en.wikipedia.org/wiki/Aho%E2%80%93Corasick_algorithm) to enhance performance.
I think it could be implemented into rebulk, by merging all string p…
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While working on #51 I realized that there is quite a bit of memory/performance tradeoff, similar to what happens in Meshing.jl. In Meshing.jl we have three algorithms with different performance and o…
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CDC's current algorithm to create a span-based checkpoint (which is reconstituted as a starting point for fine-grain checkpointing during replanning) works well if there is a single lagging span, but …
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Through Python 3.6 and scikit-learn, the model will predict the language of new data. Steps include data preprocessing, feature extraction, model training, and evaluation. Techniques like tokenization…
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### Problem
Per initial performance triage, it was identified that the method Shadowgraph. findAncestors()
is too much heavy-loaded with a risk for scalability, e.g. snapshot from engnet2 run:
![im…
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**What**
- We propose supporting the GPTQ algorithm, a state-of-the-art post-training quantization (PTQ) method that has demonstrated robust performance,
effectively compressing weights. Notably, G…
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I've seen the project, and it would be better if more evaluation metrics are added such as R-squared, Mean squared logarithmic error (MLSE) and coefficient of variation to evaluate the performance of …
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Background: To make sure that performance claims of the pipeline can be easily validated, and we can also show validation results in the documentation, we need to store the output of the pipeline (and…