CrabNet VS ProteinStructurePrediction

Compare CrabNet vs ProteinStructurePrediction 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)
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CrabNet ProteinStructurePrediction
1 1
90 16
- -
3.7 0.0
over 1 year ago over 2 years ago
Python Python
MIT License MIT License
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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.

ProteinStructurePrediction

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

What are some alternatives?

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

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

progen - Official release of the ProGen models

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

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

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

NoLabs - Open source biolab

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

chappie.ai - Generalized AI to perform a multitude of tasks written in python3

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

whisper-timestamped - Multilingual Automatic Speech Recognition with word-level timestamps and confidence

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