Seq2seq Signal PredictionSignal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Cluener2020CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
Practical seq2seqA simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
Seq2seqMinimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
Seq2seqchatbotsA wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.
Practical PytorchGo to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
JoeynmtMinimalist NMT for educational purposes
Neural spEnd-to-end ASR/LM implementation with PyTorch
Nlp TutorialsSimple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
NmtpytorchSequence-to-Sequence Framework in PyTorch
Tf Seq2seqSequence to sequence learning using TensorFlow.
MultiwozSource code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
Stock Prediction ModelsGathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Time Series PredictionA collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
Im2latexImage to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow
Nl2bashGenerating bash command from natural language https://arxiv.org/abs/1802.08979
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
Conv seq2seqA tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)
Bert seq2seqpytorch实现bert做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持GPT2进行文章续写。
Tf tutorial plusTutorials for TensorFlow APIs the official documentation doesn't cover
KomputationKomputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
Trade DstSource code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743
Rnn For Joint NluTensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
Seq2seq chatbot linksLinks to the implementations of neural conversational models for different frameworks
Encoder decoderFour styles of encoder decoder model by Python, Theano, Keras and Seq2Seq
DeepqaMy tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Transformers🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TaLKConvolutionsOfficial PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)
torch-asgAuto Segmentation Criterion (ASG) implemented in pytorch
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)
classyclassy is a simple-to-use library for building high-performance Machine Learning models in NLP.
dtsA Keras library for multi-step time-series forecasting.
MoChA-pytorchPyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)
ttslearnttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)
GAN-RNN Timeseries-imputationRecurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
deep-molecular-optimizationMolecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer