TEXTOIR
slot-attention
TEXTOIR | slot-attention | |
---|---|---|
1 | 1 | |
179 | 350 | |
4.5% | - | |
7.7 | 10.0 | |
3 months ago | over 1 year ago | |
Python | Python | |
MIT License | MIT License |
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TEXTOIR
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[D] Extracting next action from conversation
- Intent extraction models such as https://github.com/thuiar/textoir. My problem with this approach is that they are multi-label classifiers and usually focused on single-sentence classification "Can you get me a table?" would be assigned to the "Reservation" label. I feel that I would lose information such as "Meet at 10PM in this address."
slot-attention
What are some alternatives?
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
soundstorm-pytorch - Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
perceiver-pytorch - Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
flamingo-pytorch - Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
alphafold2 - To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
x-transformers - A simple but complete full-attention transformer with a set of promising experimental features from various papers