kiri VS FinBERT-QA

What are some alternatives?

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

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.

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

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

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

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

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

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

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

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

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

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