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sunny8898's Projects

nlp_xiaojiang icon nlp_xiaojiang

自然语言处理(nlp),小姜机器人(闲聊检索式chatbot),BERT句向量-相似度(Sentence Similarity),XLNET句向量-相似度(text xlnet embedding),文本分类(Text classification), 实体提取(ner,bert+bilstm+crf),数据增强(text augment, data enhance),同义句同义词生成,句子主干提取(mainpart),中文汉语短文本相似度,文本特征工程,keras-http-service调用

nlpbeginner icon nlpbeginner

主要介绍了NLP的基础模型以及相关算法

nlpcc2016kbqa icon nlpcc2016kbqa

KBQA based on the NLPCC2016 dataset, including reimplementation of NLPCC2016 best team`s QA.

nsfw_data_scraper icon nsfw_data_scraper

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

openface icon openface

Face recognition with deep neural networks.

pix2pix icon pix2pix

Image-to-image translation with conditional adversarial nets

pix2pixhd icon pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pkuseg-python icon pkuseg-python

pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

pycorrector icon pycorrector

pycorrector is a toolkit for text error correction. It was developed to facilitate the designing, comparing, and sharing of deep text error correction models.

pysot icon pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

python-hashes icon python-hashes

Interesting (non-cryptographic) hashes implemented in pure Python.

pytorch-openai-transformer-lm icon pytorch-openai-transformer-lm

A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

pytorch-pretrained-bert icon pytorch-pretrained-bert

The Big-&-Extending-Repository-of-Transformers: PyTorch pretrained models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

ray icon ray

A system for parallel and distributed Python that unifies the ML ecosystem.

smlar icon smlar

PostgreSQL extension for an effective similarity search || mirror of git://sigaev.ru/smlar.git || see https://www.pgcon.org/2012/schedule/track/Hacking/443.en.html

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