neumll

8 ms·

1.
by neumll 4y ago
neuspo uses machine learning and graph networks to summarize content, aggregate similar text into events and run classifiers to only keep relevant fact-driven content. Read more: https://medium.com/neuml/neuspo-d42a6e33
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Show HN: Summarize social media sports data with neuspo(neuspo.com)
3 points by neumll 4y ago|1 comments
3.
by neumll 5y ago
neuspo uses machine learning to summarize content, aggregate similar text into events and run classifiers to only keep relevant event-based content. Medium article - https://medium.com/neuml/neuspo-d42a6e33031 Much of
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Machine learning to summarize social media sports data(neuspo.com)
1 points by neumll 5y ago|1 comments
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Multilingual image similarity search with SQL(colab.research.google.com)
2 points by neumll 5y ago|0 comments
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Multilingual image similarity search with SQL(colab.research.google.com)
1 points by neumll 5y ago|0 comments
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Similarity search for current Hacker News front page titles(huggingface.co)
2 points by neumll 5y ago|0 comments
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Run your own locally-hosted translation service with a couple lines of code(neuml.github.io)
7 points by neumll 5y ago|0 comments
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Similarity search for current Hacker News front page titles(huggingface.co)
2 points by neumll 5y ago|0 comments
10.
by neumll 5y ago
The Translation pipeline translates text between languages. It supports over 100+ languages. Automatic source language detection is built-in. This pipeline detects the language of each input text row, loads a model for the source-target com
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Run your own translation service(neuml.github.io)
2 points by neumll 5y ago|1 comments
12.
by neumll 5y ago
A repo of saved workflows can be found here - https://huggingface.co/spaces/NeuML/txtai/tree/main/workflow... The above workflows can be built with this application - https://github.com&#
13.
by neumll 5y ago
True, if a team doesn't want to use Python, the way models were trained shouldn't be the reason to use Python. ONNX is a good option, txtai has a notebook that shows how to export models for use in Rust/JavaScript/Java -
14.
by neumll 5y ago
Nice, good luck! All the source is Apache 2.0 - https://github.com/neuml/txtai
15.
by neumll 5y ago
One reason is that the most popular models were developed using either the TensorFlow or PyTorch Python APIs. The pre-trained models took an immense amounts of compute resources to build. Additionally, those who built the models weren'
16.
by neumll 5y ago
The configuration-driven section is shown if you scroll down a bit: https://neuml.github.io/txtai/workflow/#configuration-driven... Here is a link to a live example: https://huggingface.co/spaces&#
17.
by neumll 5y ago
The configuration is shown if you scroll down a bit: https://neuml.github.io/txtai/workflow/#configuration-driven... Here is a link to a live example: https://huggingface.co/spaces/NeuML/
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No-code workflows for vector search(neuml.github.io)
17 points by neumll 5y ago|14 comments
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Similarity search for current Hacker News front page titles(huggingface.co)
1 points by neumll 5y ago|0 comments
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No-code workflows for vector search(neuml.github.io)
1 points by neumll 5y ago|0 comments
21.
by neumll 5y ago
More information on how txtai builds SQL statements can be found here: https://neuml.github.io/txtai/embeddings/query/#sql There is also an example notebook: https://colab.research.google.com/
22.
by neumll 5y ago
It's all of the above. txtai uses transformers to transform data (text, images, audio) into embeddings. Those embeddings are then loaded into an approximate nearest neighbor index for search. On top of that, content is loaded into a re
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by neumll 5y ago
Thank you. The indexes are built on top of either Faiss, Hnswlib or Annoy depending on the settings - https://neuml.github.io/txtai/embeddings/configuration/#back... I've primarily focused on single quer
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by neumll 5y ago
Link to GitHub project: https://github.com/neuml/txtai
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by neumll 5y ago
It's certainly a fast moving space. It's not perfect but the NLP scene has made huge strides the last couple years.
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Vector Search with SQL(neuml.github.io)
36 points by neumll 5y ago|11 comments
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Txtai 4.0 released – semantic search with SQL, content storage and more(neuml.github.io)
2 points by neumll 5y ago|0 comments
28.
NeuML 2021 Year in Review(medium.com)
1 points by neumll 5y ago|0 comments
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Semantic Search with SQL(colab.research.google.com)
3 points by neumll 5y ago|0 comments
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Efficiently process large tensor arrays(colab.research.google.com)
4 points by neumll 5y ago|0 comments

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