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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。

Jupyter Notebook 17,725 4,629 Updated Jan 9, 2026

手写实现李航《统计学习方法》书中全部算法

Python 11,620 2,885 Updated Nov 25, 2025

机器学习算法的公式推导以及numpy实现

Jupyter Notebook 2,123 479 Updated May 2, 2023

机器学习算法python实现

Python 8,517 2,521 Updated May 20, 2024

A list of deep learning implementations in biology

2,145 486 Updated Mar 4, 2026

【火炉炼AI】-机器学习系列文章

Jupyter Notebook 207 90 Updated Apr 13, 2019

Integrating GWAS and spatial transcriptomics for spatially resolved mapping of cells associated with human complex traits.

Python 211 17 Updated Apr 7, 2026

A practical tutorial for using machine learning algorithms to complete data analysis.

Python 2 Updated Oct 10, 2020

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Python 66,939 6,710 Updated Jan 22, 2026

Colocalization scripts for colocalizing GWAS and eQTL signals

R 3 Updated May 22, 2019

Open Source Data Management Software

C++ 480 145 Updated Jun 11, 2026

This is the repo for the learning center home.

7 23 Updated Mar 19, 2026