Top 6 Jupyter Notebook text-generation Projects
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tf-transformers
State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
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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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gpt-j-fine-tuning-example
Fine-tuning 6-Billion GPT-J (& other models) with LoRA and 8-bit compression
I've been playing around with DALL-E 3 a lot recently. One of the things they do is to expand a user's prompt in order to add a lot of detail. Via their API, you can see the expanded prompt (whereas, you can't through the ChatGPT interface).
They obviously have the power of their LLM behind them and can generate some really interesting prompts. There is an open source implementation that the creator of Fooocus made which attempts to expand on prompts using some commonly used keywords[1] with some sort of basic context.
e.g., I typed in "Brisket on a table" and got: "Brisket on a table, product photography, Michelin star, award winning photo, 8k, trending, HD. High quality image, highly detailed, stunning lighting, flawless render, masterpiece, still from the movie directed by Denis Villeneuve with art direction"
You get a much better image with that prompt vs just the basic: "Brisket on a table"
[1] https://huggingface.co/spaces/daspartho/prompt-extend
Index
What are some of the best open-source text-generation projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | prompt-extend | 174 |
2 | tf-transformers | 84 |
3 | gpt-j-fine-tuning-example | 63 |
4 | LocalMentor | 21 |
5 | Multimodal | 8 |
6 | bert-textgeneration | 4 |
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