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aaltd18

Data augmentation using synthetic data for time series classification with deep residual networks

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

bmc

Notes on Scientific Computing for Biomechanics and Motor Control

book4_power-of-matrix

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；本册有，584幅图，81个代码文件，其中18个Streamlit App；状态：清华社五审五校中；Github稿件基本稳定，欢迎提意见，会及时修改

brew

⛔️ DEPRECATED brew: Python Ensemble Learning API

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepsurv

DeepSurv is a deep learning approach to survival analysis.

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

donut

WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

hub

Submission to https://pytorch.org/hub/

introduction-to-python-numerical-analysis-for-engineers-and-scientist

Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became the world's most popular programming language. This course covers the basic syntax, linear algebra, plotting, and more to prepare students for solving numerical problems with Python.

keras_lstm_vae

Keras implementation of LSTM Variational Autoencoder

large-sample-analysis-project-bayesian-mcmc-for-survival-analysis

learning-from-data

记录Learning from data一书中的习题解答

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

lihang-code

《统计学习方法》的代码实现

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

lis-ynp

:crystal_ball: Life is short, you need PyTorch.

math-foundation

数学基础

mcmc

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

ml-assignments

about Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Meta Learning, Life-long Learning, Reforcement Learning.

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。

ml-notes

notes about machine learning

mlalgorithm_implement