soloice / Matrix_DerivativesLinks
This is a note on matrix derivatives and described my own experience in detail. Hope you'll like it.
☆560Updated 6 years ago
Alternatives and similar repositories for Matrix_Derivatives
Users that are interested in Matrix_Derivatives are comparing it to the libraries listed below
Sorting:
- ☆519Updated 4 years ago
- some tircks for PyTorch☆576Updated 5 years ago
- learning fomula☆290Updated 4 years ago
- fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具☆1,514Updated last year
- 《Machine Learning: A Probabilistic Perspective》(Kevin P. Murphy)中文翻译和书中算法的Python实现。☆611Updated 5 months ago
- Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现☆1,179Updated 3 years ago
- 慢慢整理所学的机器学习算法,并根据自己所理解的样子叙述出来。(注重数学推导)☆668Updated 2 years ago
- ☆110Updated 7 years ago
- ✒统计学习方法第二版(李航) 学习笔记、代码实现、课后习题☆362Updated 6 years ago
- A Chinese Notes of MLAPP,MLAPP 中文笔记项目 https://zhuanlan.zhihu.com/python-kivy☆364Updated 4 years ago
- PyTorch implementation of CNNs for CIFAR benchmark☆708Updated 4 years ago
- A tool library of classical machine learning algorithms with only numpy.☆223Updated 4 years ago
- PyTorch从入门到精通☆883Updated 5 years ago
- ☆121Updated 5 years ago
- AI 算法岗简历模板☆645Updated 5 years ago
- AI比赛相关信息汇总☆645Updated 2 years ago
- 国科大 算法分析与设计 卜东波 作业答案整理(2016)☆261Updated 8 years ago
- notes of machine learning algorithm derivation☆777Updated 5 years ago
- Collect awesome best papers from top AI conferences.☆473Updated 3 years ago
- 《统计学习方法》的代码实现☆111Updated 4 years ago
- Review, theoretical analysis and implementation of classic Machine Learning methods☆100Updated last year
- 国内公司人工智能方向(含机器学习、深度学习、计算机视觉和自然语言处理)岗位的招聘信息(含全职、实习和校招)☆767Updated 4 years ago
- 《深入浅出 PyTorch——从模型到源码》源代码和勘误(见Issues)☆343Updated 2 years ago
- 《迁移学习简明手册》LaTex源码☆2,527Updated 2 years ago
- 深度学习面试问题 回答对应的DeepLearning中文版页码☆871Updated 7 years ago
- A simple deep learning framework in pure python for purpose of learning in DL☆442Updated 5 months ago
- Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University☆545Updated 6 years ago
- 仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层;以及图像分类案例及精调网络案例等,持续更新中... ...☆545Updated 4 years ago
- pytorch memory track code☆1,017Updated 4 years ago
- A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats☆747Updated 5 years ago