Popular GitHub Repositories for Event Sequence

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Multilingual Voice Understanding Model

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

The leading workflow orchestration platform. Run stateful step functions and AI workflows on serverless, servers, or the edge.

LightSeq: A High Performance Library for Sequence Processing and Generation

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Large Concept Models: Language modeling in a sentence representation space

?Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

自然语言处理、知识图谱、对话系统三大技术研究与应用。

DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

Neural machine translation and sequence learning using TensorFlow

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch