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barryzm's Projects

ddz-ai icon ddz-ai

一种新颖的强化学习斗地主ai解决方案, aim high!

deep-learning-in-production icon deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deepfacelab icon deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deeplearning icon deeplearning

Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deepner icon deepner

天池中药说明书实体识别挑战冠军方案;中文命名实体识别;NER; BERT-CRF & BERT-SPAN & BERT-MRC;Pytorch

deepnlp icon deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

deepnude-an-image-to-image-technology icon deepnude-an-image-to-image-technology

DeepNude's algorithm and general-purpose Image-to-Image theory and practice research. DeepNude的算法以及通用的Image-to-Image理论与实践研究。

deepnude_nowatermark_withmodel icon deepnude_nowatermark_withmodel

DeepNude source code,without watermark (去水印),with demo and model download link,one command to run offline,GAN/Pytorch/pic2pic

deepo icon deepo

Set up deep learning environment in a single command line.

deeppavlov icon deeppavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

deoldify icon deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

depix icon depix

Recovers passwords from pixelized screenshots

dialog-to-action icon dialog-to-action

The code for the 2018 NeurIPS paper "Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base"

dialogbot icon dialogbot

dialogbot, provide task-based dialogue, search-based dialogue and generative dialogue model.

dialogrpt icon dialogrpt

EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"

dialogue icon dialogue

本项目由三个模块构成。意图识别:判断用户的意图是业务型还是闲聊型;模型检索:该部分构建一个语料库,当用户 发起新的query(通过意图识别判断为业务型对话)时,为用户匹配query检索的最佳response,使用HSWN进行召回(粗排), 然后构建句子的相似度,并利用LightGBM来训练一个Learning2Rank模型实现精排;生成模型:使用BERT模型来实现闲聊对话的 生成。

dialoguechallenge-tutorial icon dialoguechallenge-tutorial

人机对话评测任务整理(DSTC、ConAI2、SMP-ECDT、JD DC);重点介绍中文人机对话评测(SMP-ECDT)相关任务及方案。

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