There are 5 repositories under squad topic.
: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.
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
A Tensorflow implementation of QANet for machine reading comprehension
😎 A curated list of the Question Answering (QA)
Haskell game engine library for roguelike dungeon crawlers; please offer feedback, e.g., after trying out the sample game with the web frontend at
Tensorflow Implementation of R-Net
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework
The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".
A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks
DAWNBench: An End-to-End Deep Learning Benchmark and Competition
Allure of the Stars is a near-future Sci-Fi roguelike and tactical squad combat game written in Haskell; please offer feedback, e.g., after trying out the web frontend version at
ALBERT model Pretraining and Fine Tuning using TF2.0
Persian (Farsi) Question Answering Dataset (+ Models)
Open R-NET (hy` առնետ 🐁) implementation and detailed analysis: https://git.io/vd8dx
A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task
A PyTorch implemention of Match-LSTM, R-NET and M-Reader for Machine Reading Comprehension
R-NET implementation in TensorFlow.
TensorFlow Models for the Stanford Question Answering Dataset
Pytorch implementation of "Dynamic Coattention Networks For Question Answering"
BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.
Pytorch Implementation of Dynamic Co-attention Networks(DCN+) for Question Answering on SQuAD2.0
Turkish Question Answering Dataset - Türkçe Soru Cevap Veri Seti
Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)
A UI showing unit positions and names of units in your squad
Guide KorQuAD upload to leaderboard (EM 68.947 / F1 88.468) model which only use BERT-multilingual(single)
An Implementation of Bidirectional Attention Flow
Machine Reading Comprehension in Tensorflow
Code and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"
A spoken question answering dataset on SQUAD