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neural-architecture-search

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

neural-enhance

Super Resolution for images using deep learning.

neural-networks-for-low-level-image-processing

This is a collection of works on neural networks for low level image processing.

neural-rewriter

Learning to Perform Local Rewriting for Combinatorial Optimization

neural-symbolic-machines

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

neural_chat

Code to support training, evaluating and interacting neural network dialog models, and training them with reinforcement learning. Code to deploy a web server which hosts the models live online is available at: https://github.com/asmadotgh/neural_chat_web

neural_chat_web

The server portion of the Neural Chat project to deploy chatbots on web. This code is accompanied by another repository that includes the chatbot models: for training, evaluating and interacting with our open-sourced neural dialog models, use https://github.com/natashamjaques/neural_chat.

neuralnetdiffeq.jl

Solves ordinary differential equations and partial differential equations using neural nets

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

neuraxle

Build neat pipelines with the right abstractions to do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

next

Source Code for paper "Learning from Explanations with Neural Execution Tree", ICLR 2020

ngs

Neural-Grammar-Symbolic Learning with Back-Search

nima.pytorch

NIMA: Neural IMage Assessment

nimbus

nimbus: a cloud computing framework for high performance computations

nl2bash

Generating bash command from natural language https://arxiv.org/abs/1802.08979

nlil

Neural Logic Inductive Learning

nlp-journey

nlp相关的一些论文及代码, 包括主题模型、词向量(Word Embedding)、命名实体识别(NER)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算等，涉及到各种与nlp相关的算法，基于keras和tensorflow。

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_overview

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

nlpaug

Data augmentation for NLP

nlrn

Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)

nlrn_v0

Code of Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)

nltk-python-cn

创建《Python自然语言处理》学习代码的中文注释版本。

nmn-drop

Neural Module Network for Reasoning over Text, ICLR 2020

nn_math_solver_clean

noreward-rl

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

normalizing_flows

Pytorch implementations of density estimation algorithms: Glow, MAF, RealNVP, planar flows

notebooks

Directory of Jupyter notebooks exploring various topics

ns-outpainting

Very Long Natural Scenery Image Prediction by Outpainting, ICCV2019, TensorFlow

numersense