boboqoq,github

adversarialnetspapers

Awesome paper list with code about generative adversarial nets

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

chatgpt-next-web

One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

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.