FActScore
A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation" (by shmsw25)
deepblast
Neural Networks for Protein Sequence Alignment (by flatironinstitute)
FActScore | deepblast | |
---|---|---|
1 | 2 | |
225 | 105 | |
- | 4.0% | |
4.7 | 4.8 | |
15 days ago | 7 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
FActScore
Posts with mentions or reviews of FActScore.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Long-form factuality in large language models
Looks like a slight modification of FActScore [1], but instead of using Wikipedia as a verification source, they use Google Search. They also claim to include a wider range of topics. That said, FActScore allows you to use whatever knowledge source and topics you want [2].
[1]: https://arxiv.org/abs/2305.14251
[2]: https://github.com/shmsw25/FActScore?tab=readme-ov-file#to-u...
deepblast
Posts with mentions or reviews of deepblast.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-03.
- [D] To all the machine learning engineers: most difficult model task/type you’ve ever had to work with?
-
Strains clustering based on predicted protein genes.
Haven't tried it, but you could try running TM-vec / DeepBLAST -- where embedding vector distance is designed to approximate structural similarity. We're still polishing the API for large queries, but it is already pretty fast, so give it a shot. We tried to design it to be a drop-in replacement for BLAST.
What are some alternatives?
When comparing FActScore and deepblast you can also consider the following projects:
pypdb - A Python API for the RCSB Protein Data Bank (PDB)
MolecularNodes - Toolbox for molecular animations in Blender, powered by Geometry Nodes.
evodiff - Generation of protein sequences and evolutionary alignments via discrete diffusion models
progen - Official release of the ProGen models
Biopython - Official git repository for Biopython (originally converted from CVS)