chatgpt_telegram_bot
nlp-recipes
| chatgpt_telegram_bot | nlp-recipes | |
|---|---|---|
| 6 | 5 | |
| 4,813 | 6,020 | |
| - | - | |
| 6.9 | 0.0 | |
| 5 days ago | over 1 year 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.
chatgpt_telegram_bot
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Donate.md – Crypto donation page for your GitHub
Using such donation page I managed to collect $2K+ donations for repo: https://github.com/karfly/chatgpt_telegram_bot.
I'd be happy if this helps anyone!
- For only 29$ a year I can finally have friends!
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Adding audio transcriptions to iOS + Translations + Context Summary + etc (gpt-3.5-turbo)
Someone had beat me to that too so I just set up one from github: https://github.com/karfly/chatgpt_telegram_bot
- ChatGPT, what's the meaning of this drivel?
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Show HN: DocsGPT, open-source documentation assistant, fully aware of libraries
I set up a telegram bot and connected it to my OpenAI account with API keys and it works, but as I'm aware ChatGPT is not available as api yet, so I'm guessing the repo I got the telegram bot kinda lied that it's using ChatGPT?
[the repo](https://github.com/karfly/chatgpt_telegram_bot)
- ChatGPT re-created with GPT-3.5 (repo)
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
What are some alternatives?
DocsGPT - GPT-powered chat for documentation, chat with your documents
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
knowledge_gpt - Accurate answers and instant citations for your documents.
OpenPrompt - An Open-Source Framework for Prompt-Learning.
awesome-text-summarization - The guide to tackle with the Text Summarization
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
devdocs - API Documentation Browser
deepsegment - A sentence segmenter that actually works!
pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
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.
ccg2lambda - Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.
link-grammar - The CMU Link Grammar natural language parser