Must-read Papers on LLM Agents.

Generative Agents: Interactive Simulacra of Human Behavior

开拓者-正义之怒的剧情队友和动物伙伴的Build收集。虽说是收集，但是其实都是自己写的，只是有部分参考QQ群和贴吧的BD思路。

The code solution of example questions in Options, Futures, and Other Derivatives(11th Edition) from Chapter 3 to Chapter 36

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

正义之怒Wotr主角BD搜集

This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).

Resources and environment for unsupervised outlier model selection (UOMS)

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques