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. 6 score above 50 (established tier). The highest-rated is domluna/memn2n at 51/100 with 341 stars.

Get all 27 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=nlp&subcategory=memory-networks-qa&limit=20"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

#	Tool	Score	Tier	Stars	Language
1	domluna/memn2n End-To-End Memory Network using Tensorflow	51	Established	341	Python
2	HKUST-KnowComp/R-Net Tensorflow Implementation of R-Net	51	Established	577	Python
3	carpedm20/MemN2N-tensorflow "End-To-End Memory Networks" in Tensorflow	51	Established	827	Python
4	localminimum/QANet A Tensorflow implementation of QANet for machine reading comprehension	51	Established	982	Python
5	allenai/bi-att-flow Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical...	51	Established	1,540	Python
6	YerevaNN/Dynamic-memory-networks-in-Theano Implementation of Dynamic memory networks by Kumar et al....	50	Established	330	Python
7	paarthneekhara/byteNet-tensorflow ByteNet for character-level language modelling	49	Emerging	318	Python
8	YerevaNN/R-NET-in-Keras Open R-NET (hy` առնետ 🐁) implementation and detailed analysis: https://git.io/vd8dx	49	Emerging	177	Python
9	HKUST-KnowComp/MnemonicReader A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task	47	Emerging	135	Python
10	andy840314/QANet-pytorch- A Pytorch implementation of QANet	44	Emerging	91	Python
11	ParikhKadam/bidaf-keras Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2	43	Emerging	63	Python
12	zimmerrol/keras-utility-layer-collection Collection of custom layers and utility functions for Keras which are...	42	Emerging	62	Python
13	therne/dmn-tensorflow Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow	41	Emerging	239	Python
14	JoergFranke/ADNC Advanced Differentiable Neural Computer (ADNC) with application to bAbI task...	40	Emerging	97	Python
15	ethancaballero/Improved-Dynamic-Memory-Networks-DMN-plus Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the...	40	Emerging	167	Python
16	unilight/R-NET-in-Tensorflow R-NET implementation in TensorFlow.	38	Emerging	77	Python
17	KnetML/MAC-Network Memory, Attention and Composition (MAC) Network for CLEVR implemented via KnetLayers	35	Emerging	6	Julia
18	atulkum/co-attention Pytorch implementation of "Dynamic Coattention Networks For Question Answering"	34	Emerging	62	Python
19	shreyaverma165/Teaching-Machines-Reading-Comprehension CU Boulder \| 5622-Project	34	Emerging	4	Jupyter Notebook
20	vlgiitr/dmn-plus A Pytorch tutorial for implementation of Dynamic memory Network Plus	34	Emerging	64	Jupyter Notebook
21	thomasfermi/Dynamic-Coattention-Network-for-SQuAD Tensorflow implementation of DCN for question answering on the Stanford...	31	Emerging	13	Jupyter Notebook
22	prakruti-joshi/Gated-Attention-Network PyTorch implementation of the Gated Attention Network for text...	25	Experimental	6	Jupyter Notebook
23	lhoang29/attentive-reader Implementation of "Teaching Machines to Read and Comprehend"	22	Experimental	6	Lua
24	Raibows/DynamicBatchSampler Yet another dynamic batch sampler for variable sequence data in PyTorch.	21	Experimental	13	Python
25	JRC1995/Dynamic-Memory-Network-Plus Implementation of Dynamic Memory Network Plus for Question-Answering. Tested...	21	Experimental	9	Jupyter Notebook
26	soskek/dynamic_neural_text_model A Neural Language Model for Dynamically Representing the Meanings of Unknown...	21	Experimental	9	—
27	anantgupta129/TorcHood TorcHood is a user-friendly wrapper for PyTorch & PyTorch lightning that...	19	Experimental	3	Python

Comparisons in this category

bi-att-flow and bidaf-keras (51 vs 43) R-Net and QANet (51 vs 51) memn2n and MemN2N-tensorflow (51 vs 51) QANet and QANet-pytorch- (51 vs 44) R-Net and R-NET-in-Keras (51 vs 49) R-Net and R-NET-in-Tensorflow (51 vs 38) Dynamic-memory-networks-in-Theano and Improved-Dynamic-Memory-Networks-DMN-plus (50 vs 40) R-NET-in-Keras and R-NET-in-Tensorflow (49 vs 38)