OpenMind's repositories
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Awesome-Optimizer
Collect optimizer related papers, data, repositories
convexopt-book1
Convex optimization for statistics and machine learning
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
ETH-CAM-MATHS
Lecture Notes in Mathematics
Linear-Algebra-With-Python
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistan
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
Math-Model-and-Machine-Learning
数学建模和机器学习的笔记和资料（持续更新中......）。
MathematicalEngineeringDeepLearning
Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
MathHomework
智能计算数学基础/凸优化/最优化笔记习题
mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
NumericalOptimization
Jupyter Notebooks for the M1 MSIAM Course "Numerical Optimization" at Université Grenoble Alpes
Optimization-1
近期在学习最优化过程中，对优化方法使用算例进行复现，主要学习来源：崔雪婷老师的视频https://space.bilibili.com/507629580/video.
OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
pcc_3e
Online resources for Python Crash Course, 3rd edition, from No Starch Press.
pytorch_geometric_signed_directed
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric.
RMT4ML
Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
slambook2
edition 2 of the slambook
statlearn-s23
Course materials for Advanced Topics in Statistical Learning, Spring 2023
study-notes-math
读书笔记-数学
udlbook
Understanding Deep Learning - Simon J.D. Prince