Tensorflow Docs alternatives for AI agents.

TensorFlow documentation

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

Google Research

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

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

Free MLOps course from DataTalks.Club

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。

The "Python Machine Learning (3rd edition)" book code repository

A scikit-learn compatible neural network library that wraps PyTorch

AI实战-practicalAI 中文版

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！

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.

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

A high performance implementation of HDBSCAN clustering.