Explore @NExTplusplus Open Source projects

NExT (@NExTplusplus)

NExTplusplus

Stars
134
Global Org. Rank 49,411 (Top 16 %)
Registered over 4 years ago
Most used languages

Python
100.0 %
Location 🇸🇬 Singapore
Country Total Rank 1,060
Country Ranking

Python
282

TAT-QA

TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.

NeuRec

NeuRec is a comprehensive and flexible Python library for recommendation models that includes a large range of state-of-the-art neural recommender models.

TAT-DQA

TAT-DQA: Towards Complex Document Understanding By Discrete Reasoning

L2I

The baseline method for CCIR 22 https://www.datafountain.cn/competitions/573

TAT-HQA

TCR

TCR is a PyTorch implementation of the Topic-Guided Conversational Recommender which is designed for the multi-domain conversational recommendation setting.

PACIFIC

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance