CrabNet VS SAITS

Compare CrabNet vs SAITS and see what are their differences.

SAITS

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516 (by WenjieDu)
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CrabNet SAITS
1 9
96 361
- 3.3%
3.7 6.2
almost 2 years ago 5 months ago
Python Python
MIT License MIT 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.
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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.

SAITS

Posts with mentions or reviews of SAITS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-29.

What are some alternatives?

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

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

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

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.

Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.

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

flashattention2-custom-mask - Triton implementation of FlashAttention2 that adds Custom Masks.

Regressio - A python library for univariate regression, interpolation, and smoothing.

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

SSSD - Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

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

PyPOTS - A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

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