DeFMO VS tape

Compare DeFMO 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)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
DeFMO tape
1 1
164 620
- 2.4%
1.8 0.0
about 2 years 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.

DeFMO

Posts with mentions or reviews of DeFMO. We have used some of these posts to build our list of alternatives and similar projects.

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 DeFMO and tape you can also consider the following projects:

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

protein-bert-pytorch - Implementation of ProteinBERT in Pytorch

MonoRec - Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)

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

Awesome-Deblurring - A curated list of resources for Image and Video Deblurring

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)

protein_bert

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