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ner-loc

中文命名实体识别& 中文命名实体检测 python实现 基于字+ 词位 分别使用tensorflow IDCNN+CRF 及 BiLSTM+CRF 搭配词性标注实现中文命名实体识别及命名实体检测

neural-collaborative-filtering

pytorch version of neural collaborative filtering

neural_collaborative_filtering

Neural Collaborative Filtering

nlp-lab-for-training

Basic training for NLP with tensorflow

nlp-tasks

NLP Applications

nlp_chinese_corpus

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

nlpaug

Data augmentation for NLP

nltk

NLTK Source

nsysu-ai.github.io

https://nsysu-ai.github.io

o2o-coupon-usage-forecast

1st Place Solution for O2O Coupon Usage Forecast

object_detection_classification_-_ford_otosan_intern_p2

Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with data collected and labeled by Ford Otosan.

odsqa

ODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET

oie-benchmark

Framework for converting QA-SRL to Open-IE and evaluating Open IE parsers.

omnievent

A comprehensive, unified and modular event extraction toolkit.

onnx-tensorflow

Tensorflow Backend for ONNX

ontonotes-5.0-ner

该repo可用于将OntoNotes-5.0转换为Conll格式

open_brats2020

Top 10 brats 2020 Solution

open_clip

An open source implementation of CLIP.

open_model_zoo

Pre-trained Deep Learning models and samples (high quality and extremely fast)

openai-gym-cartpole

Demonstration of various solutions solving the cart pole problem in OpenAI gym.

openhownet

Core Data of HowNet and OpenHowNet Python API

opennmt-py

Open Source Neural Machine Translation in PyTorch

opennmt-tf

Neural machine translation and sequence learning using TensorFlow

openresty-helloworld

orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

ottt-snn

[NeurIPS 2022] Online Training Through Time for Spiking Neural Networks

paddle

PArallel Distributed Deep LEarning （『飛槳』核心框架，高性能單機、分散式訓練和跨平臺部署）

paddle-lite

Multi-platform high performance deep learning inference engine (『飛槳』多平臺高性能深度學習預測引擎）

paragram-word

Python code for training Paragram word embeddings. These achieve human-level performance on some word similiarty tasks including SimLex-999.This code was used to obtain results in the appendix of our 2015 TACL paper "From Paraphrase Database to Compositional Paraphrase Model and Back".

parser

:rocket: State-of-the-art syntactic/semantic parsers, with pretrained models for more than 19 languages.