FinBERT-QA VS kiri

What are some alternatives?

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.

Questgen.ai - Question generation using state-of-the-art Natural Language Processing algorithms

BERT-QE - Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".

simpletransformers - Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

kiri - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

lm-evaluation-harness - A framework for few-shot evaluation of language models.

KitanaQA - KitanaQA: Adversarial training and data augmentation for neural question-answering models

4ms-kicad-lib - libraries for KiCAD schematics and footprints

TextFooler - A Model for Natural Language Attack on Text Classification and Inference

CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image