ProteinStructurePrediction VS CrabNet

Compare ProteinStructurePrediction vs CrabNet and see what are their differences.

ProteinStructurePrediction

Protein structure prediction is the task of predicting the 3-dimensional structure (shape) of a protein given its amino acid sequence and any available supporting information. In this section, we will Install and inspect sidechainnet, a dataset with tools for predicting and inspecting protein structures, complete two simplified implementations of Attention based Networks for predicting protein angles from amino acid sequences, and visualize our predictions along the way. (by victor369basu)
3D AI attention-mechanism Bioinformatics Data Science Machine Learning Medical Protein protein-structure Python3 Pytorch Transformer
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CrabNet

Predict materials properties using only the composition information! (by anthony-wang)
predict-materials-properties neural-networks materials-informatics Machine Learning Pytorch materials-science materials-screening scikit-learn attention-mechanism attention self-attention Transformer
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doi.org
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ProteinStructurePrediction CrabNet
1 1
9 81
- -
0.0 3.7
over 1 year ago about 1 year ago
Python Python
MIT License MIT License
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ProteinStructurePrediction

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

CrabNet

Posts with mentions or reviews of CrabNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-15.
  • Artificial intelligence can revolutionise science
    2 projects | news.ycombinator.com | 15 Sep 2023
    I don't know. As for "literature-based discovery," this project/paper sounded like a pretty big deal when it came out a few years ago: https://github.com/materialsintelligence/mat2vec . And I see this thing came out more recently: https://github.com/anthony-wang/CrabNet .

    Of course not all fields lend themselves as well to this as does materials science.

What are some alternatives?

When comparing ProteinStructurePrediction and CrabNet you can also consider the following projects:

Avolition2 - 3D action-RPG game for Linux/Windows/MacOS written in Python3 based on Panda3D engine

Invariant-Attention - An implementation of Invariant Point Attention from Alphafold 2

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

query-selector - LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

progen - Official release of the ProGen models

GAT - Graph Attention Networks (https://arxiv.org/abs/1710.10903)

NoLabs - Open source biolab

hummingbird - Hummingbird compiles trained ML models into tensor computation for faster inference.

mat2vec - Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

Perceiver - Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow

ViTGAN - A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.

ProteinStructurePrediction vs Avolition2 CrabNet vs Invariant-Attention ProteinStructurePrediction vs openfold CrabNet vs query-selector ProteinStructurePrediction vs progen CrabNet vs GAT ProteinStructurePrediction vs NoLabs CrabNet vs hummingbird CrabNet vs mat2vec CrabNet vs Perceiver CrabNet vs ViTGAN