tango
primeqa
| tango | primeqa | |
|---|---|---|
| 5 | 5 | |
| 510 | 702 | |
| 0.8% | 0.9% | |
| 6.5 | 8.2 | |
| 6 days ago | 2 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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tango
- AI2 Tango
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AllenNLP will be unmaintained in December
Maybe we need to re-work the docs if the DAG aspects stick out to you so much. The main functionality is the cache. If you have a complex experiment, you can still write the code as if all the steps were fast, and let them be slow only the first time you run it. The DAG stuff is also nice, but less important.
That said, you could execute sklearn. If that's what your experiment needs, it's the right thing to do. This is why it gives us the flexibility to also support Jax: https://github.com/allenai/tango/pull/313
The DL-specific stuff is in the components we supply. Like the trainer, dataset handling stuff, file formats, and increasingly, https://github.com/allenai/catwalk.
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AI2 Introduces Tango, A Python Library For Choreographing Machine Learning Research Experiments By Executing A Series Of Steps
Tango ensures you never operate on outdated data by taking care of your intermediate and final outcomes and finding them again when needed.
primeqa
- State-of-the-Art Multilingual Question Answering
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ML tool to read PDF file and answer questions from its content
Check out this project it might be of some help primeqa .
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Natural language, chat-based, AI-assisted search for Gmail
Look into primeqa (github/primeqa. With some basic python programming you can do alot of things!!
- PrimeQA
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With Just ~20 Lines of Python Code, You can Do ‘Retrieval Augmented GPT Based QA’ Using This Open Source Repository Called PrimeQA
Quick Read: https://www.marktechpost.com/2023/03/03/with-just-20-lines-of-python-code-you-can-do-retrieval-augmented-gpt-based-qa-using-this-open-source-repository-called-primeqa/ Paper: https://arxiv.org/pdf/2301.09715.pdf Github: https://github.com/primeqa/primeqa
What are some alternatives?
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
question_extractor - Generate question/answer training pairs out of raw text.
allennlp - An open-source NLP research library, built on PyTorch.
cherche - Neural Search
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
google-local-results-ai-server - A server code for serving BERT-based models for text classification. It is designed by SerpApi for heavy-load prototyping and production tasks, specifically for the implementation of the google-local-results-ai-parser gem.
catwalk - This project studies the performance and robustness of language models and task-adaptation methods.
extreme-bert - ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”.
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
SquadCalc - A Minimalist Squad Mortar Calculator
ai-tools - Simple command-line AI chat assistant built using the OpenAI API
llmware - Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.