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neural_networks

This is the code for "Neural Networks - The Math of Intelligence #4" by Siraj Raval on Youtube

neural_style_tensorflow

the neural style methods version in tensorflow

neuralturingmachine

Tensorflow implementation of a Neural Turing Machine

neuronlp

Deep neural models for core NLP tasks

nlm

Train deep neural language models as described in this paper "Deep Neural Language Models for Machine Translation" http://www.aclweb.org/anthology/K/K15/K15-1031.pdf . We don't claim that this is a fast implementation but was sufficient for us to obtain consistent gains in real translation tasks.

nlp-bert--chineseversion

谷歌自然语言处理模型BERT：论文解析与python代码

nlp-implement

implemented : LSA PLSA LDA

nlp-tensorflow

NLP Tensorflow Tutorials

nlp-tutorials

Not complete yet

nlp_dl_lecture_note

nlp_labeling

nlp_programing_assignment_code

nlp_programing_assignment_code

nlquery

Natural Language Engine on WikiData

nmn2

Dynamically predicted neural network structures for multi-domain question answering

nmt

TensorFlow Neural Machine Translation Tutorial

nmt-attention

A python implementation of the Neural Machine Translation model using attention mechanism.

nmt.hybrid

State-of-the-art Neural Machine Translation Codebase including Hybrid Word-character Models

nmt.matlab

Code to train state-of-the-art Neural Machine Translation systems.

nn_chatbot

nn_coref

Neural Coref Models

nn_ner_tensorflow

Implementing , learning and re implementing "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" in Tensorflow

nndial

NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

notebooks

collection of iPython notebooks

notes-python

中文 Python 笔记

npbayeshmm

Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP-HMM). Implemented in Matlab.

nqg

Neural Question Generation

nqg-1

This is my work on neural question generation

ntm

TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)