Popular GitHub Repositories for Sequence Mining

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

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

The "Python Machine Learning (1st edition)" book code repository and info resource

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through our open source R&D automation tool RD-Agent, which lets AI drive data-driven AI.

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

A unified framework for machine learning with time series

Anomaly detection related books, papers, videos, and toolboxes

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

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

:octocat: Machine Learning for Cyber Security

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

A library of extension and helper modules for Python's data analysis and machine learning libraries.

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

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.