Popular GitHub Repositories for Sequence Labels

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

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

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

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

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

Laminar - open-source all-in-one platform for engineering AI products. Crate data flywheel for you AI app. Traces, Evals, Datasets, Labels. YC S24.

?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.

Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.

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

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

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