[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-10735":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":15,"stars30d":17,"stars90d":16,"forks30d":16,"starsTrendScore":16,"compositeScore":18,"rankGlobal":10,"rankLanguage":10,"license":19,"archived":20,"fork":20,"defaultBranch":21,"hasWiki":22,"hasPages":22,"topics":23,"createdAt":10,"pushedAt":10,"updatedAt":32,"readmeContent":33,"aiSummary":34,"trendingCount":16,"starSnapshotCount":16,"syncStatus":35,"lastSyncTime":36,"discoverSource":37},10735,"Awesome-Chatbot","fendouai\u002FAwesome-Chatbot","fendouai","Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:","http:\u002F\u002Fwww.panchuangai.com\u002F",null,"Python",2174,432,98,1,0,5,29.91,"Apache License 2.0",false,"master",true,[24,25,26,27,28,29,30,31],"awesome","chatbot","corpus","seq2seq","seq2seq-chatbot","seq2seq-model","tensorflow","tutorial","2026-06-12 02:02:25","# Awesome Chatbot Projects\n\n## Chatbot\n\n### ParlAI\n\nA framework for training and evaluating AI models on a variety of openly available dialog datasets.\n\nhttps:\u002F\u002Fgithub.com\u002Ffacebookresearch\u002FParlAI\n\n### stanford-tensorflow-tutorials\n\nA neural chatbot using sequence to sequence model with attentional decoder.\n\nhttps:\u002F\u002Fgithub.com\u002Fchiphuyen\u002Fstanford-tensorflow-tutorials\u002Ftree\u002Fmaster\u002Fassignments\u002Fchatbot\n\n### ChatterBot\n\nChatterBot is a machine learning, conversational dialog engine for creating chat bots\n\nhttp:\u002F\u002Fchatterbot.readthedocs.io\u002F\n\n### DeepQA\n\nMy tensorflow implementation of \"A neural conversational model\", a Deep learning based chatbot\n\nhttps:\u002F\u002Fgithub.com\u002FConchylicultor\u002FDeepQA\n\n### neuralconvo\n\nNeural conversational model in Torch\n\nhttps:\u002F\u002Fgithub.com\u002Fmacournoyer\u002Fneuralconvo\n\n### chatbot-rnn\n\nA toy chatbot powered by deep learning and trained on data from Reddit\n\nhttps:\u002F\u002Fgithub.com\u002Fpender\u002Fchatbot-rnn\n\n### tf_seq2seq_chatbot\n\ntensorflow seq2seq chatbot\n\nhttps:\u002F\u002Fgithub.com\u002Fnicolas-ivanov\u002Ftf_seq2seq_chatbot\n\n### ai-chatbot-framework\n\nA python chatbot framework with Natural Language Understanding and Artificial Intelligence.\n\nhttps:\u002F\u002Fgithub.com\u002Falfredfrancis\u002Fai-chatbot-framework\n\n### DeepChatModels\n\nConversation Models in Tensorflow\n\nhttps:\u002F\u002Fgithub.com\u002Fmckinziebrandon\u002FDeepChatModels\n\n### Chatbot\n\nBuild your own chatbot base on IBM Watson\n\nhttps:\u002F\u002Fwebchatbot.mybluemix.net\u002F\n\n### Chatbot\n\nAn AI Based Chatbot\n\nhttp:\u002F\u002Fchatbot.sohelamin.com\u002F\n\n### neural-chatbot\n\nA chatbot based on seq2seq architecture done with tensorflow.\n\nhttps:\u002F\u002Fgithub.com\u002Finikdom\u002Fneural-chatbot\n\n\n## Chinese_Chatbot\n\n### Seq2Seq_Chatbot_QA\n\n使用TensorFlow实现的Sequence to Sequence的聊天机器人模型\n\nhttps:\u002F\u002Fgithub.com\u002Fqhduan\u002FSeq2Seq_Chatbot_QA\n\n### Chatbot\n\n基於向量匹配的情境式聊天機器人\n\nhttps:\u002F\u002Fgithub.com\u002Fzake7749\u002FChatbot\n\n### chatbot-zh-torch7\n\n中文Neural conversational model in Torch\n\nhttps:\u002F\u002Fgithub.com\u002Fmajoressense\u002Fchatbot-zh-torch7\n\n\n## Corpus\n\n### Cornell Movie-Dialogs Corpus\n\nhttp:\u002F\u002Fwww.cs.cornell.edu\u002F~cristian\u002FCornell_Movie-Dialogs_Corpus.html\n\n### Dialog_Corpus\n\nDatasets for Training Chatbot System\n\nhttps:\u002F\u002Fgithub.com\u002Fcandlewill\u002FDialog_Corpus\n\n### OpenSubtitles\n\nA series of scripts to download and parse the OpenSubtitles corpus.\n\nhttps:\u002F\u002Fgithub.com\u002FAlJohri\u002FOpenSubtitles\n\n### insuranceqa-corpus-zh\n\nOpenData in insurance area for Machine Learning Tasks\n\nhttps:\u002F\u002Fgithub.com\u002FSamurais\u002Finsuranceqa-corpus-zh\n\n### dgk_lost_conv\n\ndgk_lost_conv 中文对白语料 chinese conversation corpus\n\nhttps:\u002F\u002Fgithub.com\u002Fmajoressense\u002Fdgk_lost_conv\n\n\n## Papers\n\n### Sequence to Sequence Learning with Neural Networks\n\nhttp:\u002F\u002Fpapers.nips.cc\u002Fpaper\u002F5346-sequence-to-sequence-learning-with-neural-networks.pdf\n\n### A Neural Conversational Model\n\nhttp:\u002F\u002Farxiv.org\u002Fpdf\u002F1506.05869v1.pdf\n\n## Tutorial\n\n### Research Blog: Computer, respond to this email.\n\nhttps:\u002F\u002Fresearch.googleblog.com\u002F2015\u002F11\u002Fcomputer-respond-to-this-email.html\n\n### Deep Learning for Chatbots, Part 1 – Introduction\n\nhttp:\u002F\u002Fwww.wildml.com\u002F2016\u002F04\u002Fdeep-learning-for-chatbots-part-1-introduction\u002F\n\n### Deep Learning for Chatbots, Part 2 – Implementing a Retrieval-Based Model in Tensorflow\n\nhttp:\u002F\u002Fwww.wildml.com\u002F2016\u002F07\u002Fdeep-learning-for-chatbots-2-retrieval-based-model-tensorflow\u002F\n\n## More\n[http:\u002F\u002Fwww.tensorflownews.com\u002F](http:\u002F\u002Fwww.tensorflownews.com\u002F)\n","Awesome-Chatbot 是一个集合了多种聊天机器人项目、语料库、论文和教程的资源库。该项目主要使用Python语言编写，基于TensorFlow等框架实现了多种序列到序列（seq2seq）模型，用于构建能够进行自然对话的聊天机器人。它不仅提供了丰富的中文聊天机器人实现案例，还包含了多个国际知名的开源聊天机器人项目如ParlAI、ChatterBot等。此外，项目内还整理了一系列高质量的对话数据集及相关的研究论文，为开发者提供了从理论学习到实践操作的一站式解决方案。适用于希望快速入门或深入研究聊天机器人技术的研究人员与开发爱好者。",2,"2026-06-11 03:29:55","top_topic"]