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cdj0311's Projects

cail2019 icon cail2019

**法研杯司法人工智能挑战赛之相似案例匹配第一名解决方案

cail2019-1 icon cail2019-1

法研杯2019相似案例匹配第二名解决方案

cama icon cama

CaMA: A Chinese-English Bilingual LLaMA Model.

ccks-2020 icon ccks-2020

CCKS 2020：新冠知识图谱构建与问答评测（四）新冠知识图谱问答评测

cdial-gpt icon cdial-gpt

A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models

chatbot-list icon chatbot-list

行业内关于智能客服、聊天机器人的应用和架构、算法分享和介绍

chinese_kgqa icon chinese_kgqa

该仓库目的是实现基于知识图谱的中文问答系统

chinesenlp icon chinesenlp

Datasets, SOTA results of every fields of Chinese NLP

chinesesemantickb icon chinesesemantickb

ChineseSemanticKB,chinese semantic knowledge base, 面向中文处理的12类、百万规模的语义常用词典，包括34万抽象语义库、34万反义语义库、43万同义语义库等，可支持句子扩展、转写、事件抽象与泛化等多种应用场景。

clip icon clip

Contrastive Language-Image Pretraining

codegeex icon codegeex

CodeGeeX: An Open Multilingual Code Generation Model

codegen icon codegen

CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

colossalai icon colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

corpus icon corpus

自然语言处理，知识图谱相关语料。按照Task细分，欢迎PR。

csts icon csts

中文自然语言推理与语义相似度数据集

ctr icon ctr

CTR模型代码和学习笔记总结

cubert icon cubert

Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL

deep-ctr-prediction icon deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

deep-semantic-similarity-model icon deep-semantic-similarity-model

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

deepctr icon deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepray icon deepray

Deep Pray(深度祈祷):An new Modular, Scalable, Configurable, Easy-to-Use and Extend infrastructure for Deep Learning based Recommendation.

dive-into-dl-tensorflow2.0 icon dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

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