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Starred repositories

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A Survey of Reinforcement Learning for Large Reasoning Models

1,853 105 Updated Oct 18, 2025

RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.

Python 2,354 183 Updated Oct 20, 2025

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!

Python 7,638 587 Updated Oct 21, 2025

System 2 Reasoning Link Collection

857 75 Updated Mar 16, 2025

ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning

Python 1,221 77 Updated May 16, 2025

A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.

Python 60 15 Updated Aug 3, 2018

PyTorch implementation of adversarial attacks [torchattacks]

Python 2,097 367 Updated Jun 29, 2024

List of papers on hallucination detection in LLMs.

975 76 Updated Oct 17, 2025

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

786 50 Updated May 21, 2025

Source code for the X Recommendation Algorithm

Scala 67,608 12,603 Updated Sep 8, 2025

.NET language playground

C# 2,903 213 Updated Nov 18, 2024

Hebrew Machine and Deep Learning Tutorials

239 16 Updated Dec 19, 2023

Smart Activation Script

Batchfile 9,391 1,185 Updated Oct 2, 2024

The Roslyn .NET compiler provides C# and Visual Basic languages with rich code analysis APIs.

C# 19,930 4,187 Updated Oct 21, 2025

This repo is used for reviewing new .NET designs.

C# 925 165 Updated Oct 17, 2025

.NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.

C# 17,019 5,202 Updated Oct 21, 2025

Open-source Windows and Office activator featuring HWID, Ohook, TSforge, KMS38, and Online KMS activation methods, along with advanced troubleshooting.

Batchfile 153,167 14,802 Updated Sep 30, 2025

The official repo for the design of the C# programming language

C# 12,297 1,053 Updated Oct 17, 2025
点击 这是indexloc提供的php浏览器服务,不要输入任何密码和下载