Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

零知识证明入门教程。

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

pix2tex: Using a ViT to convert images of equations into LaTeX code.

[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

A Library for Advanced Deep Time Series Models.

Machine learning, in numpy

Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org

Deep Learning for humans

WEASEL 2.0 - A Random Dilated Dictionary Transform for Fast, Accurate and Constrained Memory Time Series Classification

Repository for the book Grokking Machine Learning, by Manning Editors

Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data

Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras

Machine learning algorithms implemented by pure numpy

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…

🐟🐟🐟 机器学习面试复习资源

Time series classification and clustering code written in Python.

Create, manipulate and convert representations of position and orientation in 2D or 3D using Python

Lecture Notes for Linear Algebra Featuring Python

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models on Time Series data sets with a Single Line of Code

A machine learning library for detecting anomalies in signals.

A Python 3 library making time series data mining tasks utilizing matrix profile algorithms accessible to everyone.

Time series forecasting with PyTorch

Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python