protein_bert VS tape

Compare protein_bert vs tape and see what are their differences.

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)
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protein_bert tape
2 1
456 620
- 0.0%
6.0 0.0
5 months ago over 1 year ago
Jupyter Notebook Python
- 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.

protein_bert

Posts with mentions or reviews of protein_bert. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-30.

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.

What are some alternatives?

When comparing protein_bert and tape you can also consider the following projects:

asap - Amino-Acid Sequence Annotation Predictor (ASAP)

protein-bert-pytorch - Implementation of ProteinBERT in Pytorch

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

beir - A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

evodiff - Generation of protein sequences and evolutionary alignments via discrete diffusion models

ProFET - ProFET: Protein Feature Engineering Toolkit for Machine Learning

text - Models, data loaders and abstractions for language processing, powered by PyTorch

pypdb - A Python API for the RCSB Protein Data Bank (PDB)

openfold - Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

ronin - RoNIN: Robust Neural Inertial Navigation in the Wild