Awesome ChatbotAwesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:
Stars: ✭ 1,785 (+5850%)
Seq2seq chatbot基于seq2seq模型的简单对话系统的tf实现,具有embedding、attention、beam_search等功能,数据集是Cornell Movie Dialogs
Stars: ✭ 308 (+926.67%)
minimal-nmtA minimal nmt example to serve as an seq2seq+attention reference.
Stars: ✭ 36 (+20%)
Nlp made easyExplains nlp building blocks in a simple manner.
Stars: ✭ 232 (+673.33%)
Seq2seq基于Pytorch的中文聊天机器人 集成BeamSearch算法
Stars: ✭ 200 (+566.67%)
Tf Seq2seqSequence to sequence learning using TensorFlow.
Stars: ✭ 387 (+1190%)
chatbot🤖️ 基于 PyTorch 的任务型聊天机器人(支持私有部署和 docker 部署的 Chatbot)
Stars: ✭ 77 (+156.67%)
Seq2seq chatbot new基于seq2seq模型的简单对话系统的tf实现,具有embedding、attention、beam_search等功能,数据集是Cornell Movie Dialogs
Stars: ✭ 144 (+380%)
transformerNeutron: A pytorch based implementation of Transformer and its variants.
Stars: ✭ 60 (+100%)
Im2latexImage to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow
Stars: ✭ 342 (+1040%)
Seq2seqchatbotsA wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.
Stars: ✭ 466 (+1453.33%)
beam searchBeam search for neural network sequence to sequence (encoder-decoder) models.
Stars: ✭ 31 (+3.33%)
FontRNNImplementation of FontRNN [Computer Graphics Forum, 2019].
Stars: ✭ 27 (-10%)
Nuts自然语言处理常见任务(主要包括文本分类,序列标注,自动问答等)解决方案试验田
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deep-keyphraseseq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer
Stars: ✭ 51 (+70%)
SpaceFusionNAACL'19: "Jointly Optimizing Diversity and Relevance in Neural Response Generation"
Stars: ✭ 73 (+143.33%)
tawk.spaceSocial video chats
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exocortex-haloVarious and sundry additional pieces of software I've written to incorporate into my exocortex.
Stars: ✭ 65 (+116.67%)
YodaSpeakTranslating English to Yoda English using Sequence-to-Sequence with Tensorflow.
Stars: ✭ 25 (-16.67%)
EmbeddingEmbedding模型代码和学习笔记总结
Stars: ✭ 25 (-16.67%)
fiction generatorFiction generator with Tensorflow. 模仿王小波的风格的小说生成器
Stars: ✭ 27 (-10%)
alexa-conversationFramework to easily test your Alexa skills functionally by creating a conversation with your skill.
Stars: ✭ 51 (+70%)
netboutPrivate talks made easy
Stars: ✭ 40 (+33.33%)
DeepLearning-LabCode lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.
Stars: ✭ 83 (+176.67%)
ai-n-queensSolving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.
Stars: ✭ 30 (+0%)
text-bot-openwhiskDEPRECATED: this repo is no longer actively maintained
Stars: ✭ 12 (-60%)
Shakespearizing-Modern-EnglishCode for "Jhamtani H.*, Gangal V.*, Hovy E. and Nyberg E. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models" Workshop on Stylistic Variation, EMNLP 2017
Stars: ✭ 64 (+113.33%)
GAN-RNN Timeseries-imputationRecurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
Stars: ✭ 107 (+256.67%)
Video-Cap🎬 Video Captioning: ICCV '15 paper implementation
Stars: ✭ 44 (+46.67%)
adversarial-code-generationSource code for the ICLR 2021 work "Generating Adversarial Computer Programs using Optimized Obfuscations"
Stars: ✭ 16 (-46.67%)
chatbotkbqa task-oriented qa seq2seq ir neo4j jena seq2seq tf chatbot chat
Stars: ✭ 32 (+6.67%)
dtsA Keras library for multi-step time-series forecasting.
Stars: ✭ 130 (+333.33%)
deepQAa Deep learning based chatbot implemented by Tensorflow with beam search (forked from Conchylicultor/DeepQA)
Stars: ✭ 17 (-43.33%)
transformerA PyTorch Implementation of "Attention Is All You Need"
Stars: ✭ 28 (-6.67%)
cnn-seq2seqNo description or website provided.
Stars: ✭ 39 (+30%)
sentence2vecDeep sentence embedding using Sequence to Sequence learning
Stars: ✭ 23 (-23.33%)
deep-molecular-optimizationMolecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer
Stars: ✭ 60 (+100%)
HiGRUsImplementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.
Stars: ✭ 60 (+100%)
dialog flowtterA Flutter implementation of Google's Dialog Flow improved
Stars: ✭ 31 (+3.33%)
general-runtimeRuntime for executing voiceflow projects and conversational state management across different platforms
Stars: ✭ 24 (-20%)
RNNSearchAn implementation of attention-based neural machine translation using Pytorch
Stars: ✭ 43 (+43.33%)
CVAE DialCVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"
Stars: ✭ 16 (-46.67%)
chatbot-generativeA generative-model based chatbot trained with Chinese corpus
Stars: ✭ 14 (-53.33%)
MoChA-pytorchPyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)
Stars: ✭ 65 (+116.67%)