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Minor awesome-transformers.md fixes (huggingface#23453)
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Minor docs fixes
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pagarsky authored and gojiteji committed Jun 5, 2023
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## [flair](https://github.com/flairNLP/flair)

FLAIR is a powerful PyTorch NLP framework, convering several important tasks: NER, sentiment-analysis, part-of-speech tagging, text and ducoment embeddings, among other things.
FLAIR is a powerful PyTorch NLP framework, convering several important tasks: NER, sentiment-analysis, part-of-speech tagging, text and document embeddings, among other things.

Keywords: NLP, text embedding, document embedding, biomedical, NER, PoS, sentiment-analysis

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## [tortoise-tts](https://github.com/neonbjb/tortoise-tts)

Tortoise is a text-to-speech program built with the following priorities: strong multi-voice capabilities., and highly realistic prosody and intonation.
Tortoise is a text-to-speech program built with the following priorities: strong multi-voice capabilities, and highly realistic prosody and intonation.

Keywords: Text-to-speech

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Diffgram aims to integrate human supervision into platforms. We support your team programmatically changing the UI (Schema, layout, etc.) like in Streamlit. This means that you can collect and annotate timely data from users. In other words, we are the platform behind your platform, an integrated part of your application, to ship new & better AI products faster.

Keywords: Human supervision, Platfor,
Keywords: Human supervision, Platform

## [ecco](https://github.com/jalammar/ecco)

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Keywords: Knowledge Extraction, Knowledge Graphs

## [nebullvm](https://github.com/nebuly-ai/nebullvm)
## [Nebuly](https://github.com/nebuly-ai/nebuly)

Nebullvm is an ecosystem of plug and play modules to optimize the performances of your AI systems. The optimization modules are stack-agnostic and work with any library. They are designed to be easily integrated into your system, providing a quick and seamless boost to its performance. Simply plug and play to start realizing the benefits of optimized performance right away.
Nebuly is the next-generation platform to monitor and optimize your AI costs in one place. The platform connects to all your AI cost sources (compute, API providers, AI software licenses, etc) and centralizes them in one place to give you full visibility on a model basis. The platform also provides optimization recommendations and a co-pilot model that can guide during the optimization process. The platform builds on top of the open-source tools allowing you to optimize the different steps of your AI stack to squeeze out the best possible cost performances.

Keywords: Optimization, Performance
Keywords: Optimization, Performance, Monitoring

## [imaginAIry](https://github.com/brycedrennan/imaginAIry)

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