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ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mmlspark

Microsoft Machine Learning for Apache Spark

mrc_book

《机器阅读理解：算法与实践》代码

mtbook

《机器翻译：统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods

mybook

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

numpy-ml

Machine learning, in numpy

olps

Online Portfolio Selection toolbox

predictive-practice-with-r

《R语言预测实战》书籍数据及代码

pycaret

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

quantaxis

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

scikit-learn

scikit-learn: machine learning in Python

semi-auto-modeling

super-slomo

PyTorch implementation of Super SloMo by Jiang et al.

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tutorials

CatBoost tutorials repository