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Top 14 Python self-attention Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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how-do-vits-work
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
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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
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Parallel-Tacotron2
PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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ViTGAN
A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.
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ubisoft-laforge-daft-exprt
PyTorch Implementation of Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis
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AREnets
Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation
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Project mention: SAITS: Self-Attention-based Imputation for Time Series. Expert Systems with Applications, 219:119619, 2023. | /r/science | 2023-07-13The full paper is available on arXiv: https://arxiv.org/abs/2202.08516. The code on GitHub: https://github.com/WenjieDu/SAITS/. If your research lies in time-series modeling, you may also be interested in the work PyPOTS: a Python toolbox for data mining on Partially-Observed Time Series. Its full paper is available on arXiv as well https://arxiv.org/abs/2305.18811, which has been peer-reviewed and accepted by the 9th SIGKDD international workshop Mining and Learning from Time Series (MiLeTS'23).
Project mention: SLiMe: One-shot image segmentation using Stable Diffusion | news.ycombinator.com | 2023-10-18
Project mention: Artificial intelligence can revolutionise science | news.ycombinator.com | 2023-09-15I 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.
Python self-attention related posts
- SAITS: Self-Attention-based Imputation for Time Series. Expert Systems with Applications, 219:119619, 2023.
- Missing values in time series collected from the real world are common to see and very pesky. A new state-of-the-art and fast neural network called SAITS is proposed to impute missing data in partially-observed multivariate time series. The code is open source on GitHub.
- SAITS: NEW Data - star count:118.0
- SAITS: NEW Data - star count:118.0
- SAITS: NEW Data - star count:118.0
- SAITS: NEW Data - star count:118.0
- [D] Dr. Petar Veličković (Deepmind) - Categories, Graphs, Reasoning and Graph Expander Propagation
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Index
What are some of the best open-source self-attention projects in Python? This list will help you:
Project | Stars | |
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1 | Informer2020 | 4,890 |
2 | GAT | 3,045 |
3 | DeBERTa | 1,844 |
4 | how-do-vits-work | 784 |
5 | GCVit | 414 |
6 | SAITS | 252 |
7 | Parallel-Tacotron2 | 184 |
8 | ViTGAN | 155 |
9 | ubisoft-laforge-daft-exprt | 114 |
10 | SLiMe | 106 |
11 | CrabNet | 81 |
12 | query-selector | 74 |
13 | AREnets | 7 |
14 | attention_to_gif | 1 |
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