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nlp_chinese_corpus

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

nlp_highlights

The most important NLP highlights of 2018 (PDF Report)

nlp_paper_study

研读顶会论文，复现论文相关代码

nlpgnn

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

nlrl

Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)

nmn

Source code and datasets for ACL 2020 paper: Neighborhood Matching Network for Entity Alignment.

noah-research

Noah Research

noisy-ner-confidence-estimation

The source code for 'Noisy-Labeled NER with Confidence Estimation' accepted by NAACL 2021

noisy_label_understanding_utilizing

ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

noisy_labels

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

noisystudent

Code for NoisyStudent on SVHN. https://arxiv.org/abs/1911.04252

nonsymmetric-dpp-learning

PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.

norm-analysis-of-transformer

normalizing-flows

Implementation of normalizing flows in TensorFlow 2 including a small tutorial.

nostril

Nostril: Nonsense String Evaluator

npns

Nugget Proposal Networks for Chinese Event Detection

null

event_extraction

numpy-hilbert-curve

Numpy implementation of Hilbert curves in arbitrary dimensions

numpy-ml

Machine learning, in numpy

numpywdl

Implement Wide & Deep algorithm by using NumPy

nystromformer

o-gan

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

obstacle-tower-env

Obstacle Tower Environment

oc-cnn

oie-resources

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

olaf

Olaf: Overly lightweight acoustic fingerprinting is a portable acoustic fingerprinting system.

omnievent

A comprehensive, unified and modular event extraction toolkit.

on-learning-invariant-representations-for-domain-adaptation

Code for ICML-2019 paper "On Learning Invariant Representations for Domain Adaptation"

one-pass-kmeans-algorithms

Implementation of An Efficient Clustering Method for k-Anonymization in Python 2.7

oni

Oni: Modern Modal Editing - powered by Neovim