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100-days-of-ml-code

100-Days-Of-ML-Code中文版

adaptive-wcnn

boosted-regression-tree-in-prediction-with-variable-selection

One Boosted Regression Tree method in Prediction of Industrial Steam Volume after variable selection

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep-multiset-cca

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepschool.io

Deep Learning tutorials in jupyter notebooks.

ennemi

Easy Nearest Neighbor Estimation of Mutual Information

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kpca-matlab

MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

machine-learning

Basic algorithms about machine learnig

machine-learning-with-python

Python code for common Machine Learning Algorithms

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ml-for-beginners

12 weeks, 24 lessons, classic Machine Learning for all

one-python-craftsman

来自一位 Pythonista 的编程经验分享，内容涵盖编码技巧、最佳实践与思维模式等方面。

paper-writing-tips

Paper Writing Tips

pmpca

PCA for multivariate statistical process monitoring.

prsl-spring-2022

Pattern Recognition and Statical Learning

python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

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》)

scikit-learn

scikit-learn: machine learning in Python

soft_sensor_experiments

ssldpca-il-faultdetection

Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection（基于半监督密度聚类+增量学习的故障诊断）

stacked-autoencoder-fault-diagnosis

SAE Anomaly Detection Time Series Data

statistical-learning-method

李航统计学习方法的一些代码实现

tennessee-eastman-process

Production ready statistical process monitoring and anomaly detection program for a typical chemical production plant

tep

tep-meets-lstm

Chemical Process Fault Detection Using Long Short-Term Memory Recurrent Neural Network.

threshold_optimizer

Optimize thresholds for multilabel classifier