Book3 Elements Of Mathematics alternatives for AI agents.

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正

Google Research

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

The "Python Machine Learning (2nd edition)" book code repository and info resource

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

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。

Free MLOps course from DataTalks.Club

All course materials for the Zero to Mastery Machine Learning and Data Science course.

AI实战-practicalAI 中文版

A scikit-learn compatible neural network library that wraps PyTorch

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.