evodiff
Generation of protein sequences and evolutionary alignments via discrete diffusion models (by microsoft)
tape
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (by songlab-cal)
evodiff | tape | |
---|---|---|
1 | 1 | |
425 | 620 | |
5.9% | 0.0% | |
8.9 | 0.0 | |
about 1 month ago | over 1 year 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.
evodiff
Posts with mentions or reviews of evodiff.
We have used some of these posts to build our list of alternatives
and similar projects.
-
What’s Next in Protein Design? Microsoft Researchers Introduce EvoDiff: A Groundbreaking AI Framework for Sequence-First Protein Engineering
Github: https://github.com/microsoft/evodiff
tape
Posts with mentions or reviews of tape.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-30.
-
ProteinBERT: A universal deep-learning model of protein sequence and function
We evaluated based on downstream tasks (multiple supervised benchmarks, including 4 from TAPE), not the LM performance.
What are some alternatives?
When comparing evodiff and tape you can also consider the following projects:
protein-bert-pytorch - Implementation of ProteinBERT in Pytorch
pypdb - A Python API for the RCSB Protein Data Bank (PDB)
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down: