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DataScienceAI-Model-List

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DataScienceAI Models List

本文包含了一些基于人工智能、机器学习、深度学习等技术,实现的有趣的模型、应用、案例。

  • 2019-Deep Learning Models: A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in Jupyter Notebooks.

  • PyTorch Hub: PyTorch Hub 包含一个经过预训练的模型库,专门用于促进研究的可重复性和快速开展新的研究。PyTorch Hub 内置了对 Colab的 支持,并且能够与 Papers With Code 集成。目前 PyTorch Hub 已包含一系列广泛的模型,包括分类器和分割器、生成器、变换器等。

  • UER-py #Project#: Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Machine Learning

  • SPTAG #Project#: A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

DeepLearning

Natural Language Processing

  • 2018-BERT #Project#: BERT is method of pre-training language representations, meaning that we train a general-purpose "language understanding" model on a large text corpus (like Wikipedia), and then use that model for downstream NLP tasks that we care about (like question answering).

ASR & TTL

RNN

  • char-rnn #Project#: Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Linguistic Structure

Knowledge Graph | 知识图谱

  • 基于医药知识图谱的智能问答系统: 这是一个基于Python模块REfO实现的知识库问答初级系统. 该问答系统可以解析输入的自然语言问句生成 SPARQL 查询,进一步请求后台基于TDB知识库的Apache Jena Fuseki 服务, 进而得到问题的结果。

Game | 游戏

Chess | 象棋

Computer Vision | 计算机视觉

Motion Capture

  • Handtrack.js #Project#: 它可以让开发人员使用经过训练的手部检测模型快速创建手势交互原型。

Development | 开发辅助