Memory Networks QA NLP Tools

Implementations of memory network architectures (MemN2N, DMN, DMN+, MAC) designed for question answering and reading comprehension tasks. Does NOT include general sequence models, attention mechanisms, or other neural architectures not specifically based on memory networks.

There are 27 memory networks qa tools tracked. The highest-rated is HKUST-KnowComp/R-Net at 44/100 with 577 stars.

Get all 27 projects as JSON

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#	Tool	Score	Tier	Stars	Language
1	HKUST-KnowComp/R-Net Tensorflow Implementation of R-Net	44	Emerging	577	Python
2	allenai/bi-att-flow Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical...	44	Emerging	1,540	Python
3	localminimum/QANet A Tensorflow implementation of QANet for machine reading comprehension	44	Emerging	982	Python
4	carpedm20/MemN2N-tensorflow "End-To-End Memory Networks" in Tensorflow	44	Emerging	827	Python
5	domluna/memn2n End-To-End Memory Network using Tensorflow	44	Emerging	341	Python
6	YerevaNN/Dynamic-memory-networks-in-Theano Implementation of Dynamic memory networks by Kumar et al....	43	Emerging	330	Python
7	paarthneekhara/byteNet-tensorflow ByteNet for character-level language modelling	42	Emerging	318	Python
8	YerevaNN/R-NET-in-Keras Open R-NET (hy` առնետ 🐁) implementation and detailed analysis: https://git.io/vd8dx	42	Emerging	177	Python
9	HKUST-KnowComp/MnemonicReader A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task	40	Emerging	135	Python
10	andy840314/QANet-pytorch- A Pytorch implementation of QANet	37	Emerging	91	Python
11	ParikhKadam/bidaf-keras Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2	36	Emerging	63	Python
12	zimmerrol/keras-utility-layer-collection Collection of custom layers and utility functions for Keras which are...	35	Emerging	62	Python
13	therne/dmn-tensorflow Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow	34	Emerging	239	Python
14	ethancaballero/Improved-Dynamic-Memory-Networks-DMN-plus Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the...	33	Emerging	167	Python
15	JoergFranke/ADNC Advanced Differentiable Neural Computer (ADNC) with application to bAbI task...	33	Emerging	97	Python
16	unilight/R-NET-in-Tensorflow R-NET implementation in TensorFlow.	31	Emerging	77	Python
17	KnetML/MAC-Network Memory, Attention and Composition (MAC) Network for CLEVR implemented via KnetLayers	28	Experimental	6	Julia
18	shreyaverma165/Teaching-Machines-Reading-Comprehension CU Boulder \| 5622-Project	27	Experimental	4	Jupyter Notebook
19	atulkum/co-attention Pytorch implementation of "Dynamic Coattention Networks For Question Answering"	27	Experimental	62	Python
20	vlgiitr/dmn-plus A Pytorch tutorial for implementation of Dynamic memory Network Plus	27	Experimental	64	Jupyter Notebook
21	thomasfermi/Dynamic-Coattention-Network-for-SQuAD Tensorflow implementation of DCN for question answering on the Stanford...	24	Experimental	13	Jupyter Notebook
22	prakruti-joshi/Gated-Attention-Network PyTorch implementation of the Gated Attention Network for text...	18	Experimental	6	Jupyter Notebook
23	lhoang29/attentive-reader Implementation of "Teaching Machines to Read and Comprehend"	15	Experimental	6	Lua
24	soskek/dynamic_neural_text_model A Neural Language Model for Dynamically Representing the Meanings of Unknown...	14	Experimental	9	—
25	JRC1995/Dynamic-Memory-Network-Plus Implementation of Dynamic Memory Network Plus for Question-Answering. Tested...	14	Experimental	9	Jupyter Notebook
26	Raibows/DynamicBatchSampler Yet another dynamic batch sampler for variable sequence data in PyTorch.	14	Experimental	13	Python
27	anantgupta129/TorcHood TorcHood is a user-friendly wrapper for PyTorch & PyTorch lightning that...	12	Experimental	3	Python

Comparisons in this category

memn2n and MemN2N-tensorflow (44 vs 44) QANet and QANet-pytorch- (44 vs 37) R-Net and R-NET-in-Tensorflow (44 vs 31) R-NET-in-Keras and R-NET-in-Tensorflow (42 vs 31)