EvanLi / Python-ML-Blueprints
Python Machine Learning Blueprints(Python机器学习实践指南)书籍代码实现,配有中文说明
☆12Updated 4 years ago
Alternatives and similar repositories for Python-ML-Blueprints
Users that are interested in Python-ML-Blueprints are comparing it to the libraries listed below
Sorting:
- ☆10Updated 9 months ago
- Python 入门-进阶-高级☆12Updated 6 years ago
- Public repository for the 2022 lecture "python for physicists"☆12Updated 2 years ago
- Pyhon code for my Towards Data Science articles☆13Updated last year
- Python数据结构与算法基础,剑指offer,算法图解等。Jupyter Notebook格式,获取更好访问效果,请使用nbviewer链接 https://nbviewer.jupyter.org/github/evanli/PythonAlgorithm/tree/m…☆27Updated 4 years ago
- 《利用Python进行数据分析·第3版》学习笔记☆16Updated 6 months ago
- 告别枯燥,致力于打造 Python 实用小例子,更多Python良心教程见 Python中文网 http://www.zglg.work☆9Updated 3 years ago
- 统计学习方法(第二版)☆16Updated 2 years ago
- Efficient random sampling via linear interpolation.☆12Updated 7 months ago
- python学习机器学习相关☆8Updated 6 years ago
- Easy-Grokking-Deep-Learning,意为轻松摸索深度学习,英文缩写可简称为EGDL。☆15Updated 2 years ago
- Python数据科学入门 样例代码☆25Updated 7 years ago
- This is a collection of computational illustrations, in MATLAB and in Python, accompanying the book "Mathematical Pictures at a Data Scie…☆11Updated 2 years ago
- 从科学基金共享服务网爬取所有公开的国自然结题项目☆15Updated 7 years ago
- ☆13Updated 2 years ago
- 把这里当网盘了,因为需要差异性更新所以就放这儿了☆15Updated 9 years ago
- Python科学计算教程,学完Python不知道如何应用?看这里:https://datawhalechina.github.io/scientific-computing/☆21Updated 9 months ago
- 机器学习备忘录☆87Updated 6 years ago
- Numerical Linear Algebra Notes CME 302 Stanford☆14Updated 5 months ago
- 《机器学习及深度学习笔记》是我们的机器学习培训教材,主要面向算法和数据挖掘方向。其中包含了基础数学知识、算法原理及推导、调包实现、手推实现等内容~同样也是包括了文档以及jupyter notebook脚本实现(具体到每一张图片)☆68Updated 5 years ago
- 整理的一些书籍和源码,集合到一起,要看或者有需要的时候就不用再找了🙃☆17Updated 5 years ago
- TorchHandle makes your PyTorch development more efficient and make you use PyTorch more comfortable☆19Updated 2 years ago
- ☆10Updated 6 years ago
- 《机器学习》(周志华)算法实现笔记 - The notes of the book Machine Learning (author: Zhou Zhihua)☆29Updated 6 years ago
- Introduction to Machine Learning with Time Series workshop☆12Updated last year
- Academic Writing Style Guide for Programmers, compiled from Writing in the Sciences by Stanford University.☆19Updated 4 years ago
- [ICML 2024] Jacobian Regularizer-based Neural Granger Causality☆12Updated 7 months ago
- PHY 517 / AST 443 - Observational Techniques in Astronomy☆11Updated 3 weeks ago
- Code linked to the article published on medium.com☆29Updated 5 years ago
- LaTeX中文书籍模板☆29Updated 3 years ago