classyclassy is a simple-to-use library for building high-performance Machine Learning models in NLP.
Stars: ✭ 61 (-78.14%)
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
Stars: ✭ 21 (-92.47%)
Transformers🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Stars: ✭ 55,742 (+19879.21%)
FontRNNImplementation of FontRNN [Computer Graphics Forum, 2019].
Stars: ✭ 27 (-90.32%)
NeuralCitationNetworkNeural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)
Stars: ✭ 24 (-91.4%)
DLCV2018SPRINGDeep Learning for Computer Vision (CommE 5052) in NTU
Stars: ✭ 38 (-86.38%)
extra-modelCode to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.
Stars: ✭ 43 (-84.59%)
ttslearnttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)
Stars: ✭ 158 (-43.37%)
adversarial-code-generationSource code for the ICLR 2021 work "Generating Adversarial Computer Programs using Optimized Obfuscations"
Stars: ✭ 16 (-94.27%)
RNNSearchAn implementation of attention-based neural machine translation using Pytorch
Stars: ✭ 43 (-84.59%)
neural-chatAn AI chatbot using seq2seq
Stars: ✭ 30 (-89.25%)
fiction generatorFiction generator with Tensorflow. 模仿王小波的风格的小说生成器
Stars: ✭ 27 (-90.32%)
TaLKConvolutionsOfficial PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)
Stars: ✭ 26 (-90.68%)
dtsA Keras library for multi-step time-series forecasting.
Stars: ✭ 130 (-53.41%)
DeepLearning-LabCode lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.
Stars: ✭ 83 (-70.25%)
NagisaA Japanese tokenizer based on recurrent neural networks
Stars: ✭ 260 (-6.81%)
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 (-77.06%)
deep-molecular-optimizationMolecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer
Stars: ✭ 60 (-78.49%)
clj-ducklingLanguage, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings. (a duckling clojure fork)
Stars: ✭ 15 (-94.62%)
transformerA PyTorch Implementation of "Attention Is All You Need"
Stars: ✭ 28 (-89.96%)
transformerNeutron: A pytorch based implementation of Transformer and its variants.
Stars: ✭ 60 (-78.49%)
minimal-nmtA minimal nmt example to serve as an seq2seq+attention reference.
Stars: ✭ 36 (-87.1%)
sentence2vecDeep sentence embedding using Sequence to Sequence learning
Stars: ✭ 23 (-91.76%)
cnn-seq2seqNo description or website provided.
Stars: ✭ 39 (-86.02%)
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 (-72.4%)
lstm-mathNeural network that solves math equations on the character level
Stars: ✭ 26 (-90.68%)
2D-LSTM-Seq2SeqPyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.
Stars: ✭ 25 (-91.04%)
BERT-NERUsing pre-trained BERT models for Chinese and English NER with 🤗Transformers
Stars: ✭ 114 (-59.14%)
CVAE DialCVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"
Stars: ✭ 16 (-94.27%)
NLP ToolkitLibrary of state-of-the-art models (PyTorch) for NLP tasks
Stars: ✭ 92 (-67.03%)
Giveme5WExtraction of the five journalistic W-questions (5W) from news articles
Stars: ✭ 16 (-94.27%)
deep-keyphraseseq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer
Stars: ✭ 51 (-81.72%)
simple NERsimple rule based named entity recognition
Stars: ✭ 29 (-89.61%)
MoChA-pytorchPyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)
Stars: ✭ 65 (-76.7%)
minieAn open information extraction system that provides compact extractions
Stars: ✭ 83 (-70.25%)
Seq2seq chatbot linksLinks to the implementations of neural conversational models for different frameworks
Stars: ✭ 270 (-3.23%)
YodaSpeakTranslating English to Yoda English using Sequence-to-Sequence with Tensorflow.
Stars: ✭ 25 (-91.04%)
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 (-61.65%)
NLP-toolsUseful python NLP tools (evaluation, GUI interface, tokenization)
Stars: ✭ 39 (-86.02%)
chatbotkbqa task-oriented qa seq2seq ir neo4j jena seq2seq tf chatbot chat
Stars: ✭ 32 (-88.53%)
keras-chatbot-web-apiSimple keras chat bot using seq2seq model with Flask serving web
Stars: ✭ 51 (-81.72%)
DeepqaMy tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Stars: ✭ 2,811 (+907.53%)
OpenPromptAn Open-Source Framework for Prompt-Learning.
Stars: ✭ 1,769 (+534.05%)
torch-asgAuto Segmentation Criterion (ASG) implemented in pytorch
Stars: ✭ 42 (-84.95%)
EmbeddingEmbedding模型代码和学习笔记总结
Stars: ✭ 25 (-91.04%)
Chatbot nerchatbot_ner: Named Entity Recognition for chatbots.
Stars: ✭ 273 (-2.15%)
Encoder decoderFour styles of encoder decoder model by Python, Theano, Keras and Seq2Seq
Stars: ✭ 269 (-3.58%)
ai-visual-storytelling-seq2seqImplementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html
Stars: ✭ 50 (-82.08%)