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an-improved-end-to-end-memory-network-for-qa-tasks-in-pytorch

An Improved End-To-End Memory Network For QA Tasks in PyTorch

bert-sequence-labeling-text-classification

bert-smp

bi-att-flow

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.

chatterbot-corpus

A multilingual dialog corpus

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

knowledge-driven-dialogue

baseline system of knowledge driven dialogue competition

nstools

Some meaningless nscripter tools.

plc

ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"

pytorch-memory-utils

pytorch memory track code

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

r-bert

Implementation of R-BERT (Wu et al. 2019) model from the paper 'Enriching Pre-trained Language Model with Entity Information for Relation Classification'

smsandemail

sms send

summarizer

UNMAINTAINED: A multidocument text summarizer, the final project for CIS-530: Intro to Computational Linguistics

tensorflow

Computation using data flow graphs for scalable machine learning

tornado

Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.

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