nlp-recipes
DocsGPT
| nlp-recipes | DocsGPT | |
|---|---|---|
| 5 | 35 | |
| 6,020 | 14,193 | |
| - | 0.9% | |
| 0.0 | 9.8 | |
| over 1 year ago | 2 days ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nlp-recipes
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Show HN: I turned my microeconomics textbook into a chatbot with GPT-3
https://github.com/topics/automatic-summarization
Microsoft/nlp-recipes lists current NLP tasks that would be helpful for a docs bot: https://github.com/microsoft/nlp-recipes#content
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Show HN: DocsGPT, open-source documentation assistant, fully aware of libraries
https://github.com/topics/automatic-summarization
Though now archived,
> Microsoft/nlp-recipes lists current NLP tasks that would be helpful for a docs bot: https://github.com/microsoft/nlp-recipes#content
NLP Tasks: Text Classification, Named Entity Recognition, Text Summarization, Entailment, Question Answering, Sentence Similarity, Embeddings, Sentiment Analysis, Model Explainability, and Auto-Annotatiom
- ✨ 5 Free Resources for Learning Natural Language Processing with Python 🚀
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Is there any utility software/bot that produces descriptor tags for a Reddit image post using the comments?
I found this (https://github.com/microsoft/nlp-recipes) resource and it has a list of pre-built or easily customizable NLP models that I'm going to try out.
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Building a Aspect based sentiment classification
There is an NLP recipe from Microsoft on ABSA. Have you seen this? https://github.com/microsoft/nlp-recipes/blob/master/examples/sentiment_analysis/absa/absa.ipynb
DocsGPT
- You can earn free shirt by contributing to DocsGPT
- GPT-powered chat for documentation (fully local)
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DocsGPT Live: building extensions and discussing fine tuning
Github: https://github.com/arc53/DocsGPT
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Large documents reader engine
chatpdf.com often comes up in the comments. It works pretty well, but obviously a chat is limited with the content of a single document, it doesn't match the information. You need an API key to test it. I'm looking for a similar project to host locally, tested many projects but still searching. I tried https://github.com/arc53/docsgpt and got decent results but not enough citation references.
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Free GPT-4 platform to train custom AI models + voice conversations
I briefly tried DocsGPT, but it appeared to be broken and ignore the given documents, acting like a normal GPT chatbot.
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Is there an easy way to "upload" textbooks/standards/manuals, etc into ChatGPT?
https://github.com/arc53/docsgpt. This should do it.
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LlamaIndex
DocsGPT: https://github.com/arc53/DocsGPT (hosting locally with manifest) (live preview with openai)
- Can someone suggest way to feed developer docs into gpt? Planning to launch chatgpt search for our developer docs
- How to use embeddings to query PDF doucments using NLP
- Open source tool to Chat with your documents (PDF, Markdown, RST, TXT)
What are some alternatives?
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
llama_index - LlamaIndex is a data framework for your LLM applications
OpenPrompt - An Open-Source Framework for Prompt-Learning.
llama - Inference code for Llama models
rasa - 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
yolov7-segmentation-with-DeepSORT-Tracking - YOLOv7 Segmentation using OpenCV and PyTorch with DeepSORT Tracking (ID + TRAILS)
deepsegment - A sentence segmenter that actually works!
devdocs - API Documentation Browser
pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
localsend - An open-source cross-platform alternative to AirDrop
Parrot_Paraphraser - A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.