tape VS protein_bert

Compare tape vs protein_bert 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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tape protein_bert
1 2
620 453
0.0% -
0.0 6.0
over 1 year ago 5 months ago
Python Jupyter Notebook
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.

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.

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.

What are some alternatives?

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

protein-bert-pytorch - Implementation of ProteinBERT in Pytorch

asap - Amino-Acid Sequence Annotation Predictor (ASAP)

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