support android 12 应用分身、模拟设备、模拟wifi、虚拟多开、钉钉打卡、企微打卡、插件开发、XP插件、模拟用户操作、java hook、c++ hook

Effortlessly manage your Antigravity multi-accounts

Run Windows Subsystem For Android on your Windows 10 and Windows 11 PC using prebuilt binaries with Google Play Store (MindTheGapps) and/or Magisk or KernelSU (root solutions) built in.

一个将ACE(Augment Context Engine) 做成MCP的项目

Statistical Jump Models in Python, with scikit-learn-style APIs

Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.

Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?

ChatGPT Plus 共享方案。ChatGPT Plus / OpenAI API sharing solution.

Reverse engineered ChatGPT proxy

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Zhihu extension built on vscode.

Black Obfuscator is an obfuscator for Android APK DexFile, it can help developer to protect source code by control flow flattening, and make it difficult to analyze the actual program control flow.

A python script .Instruction level tracing tool and block level tracing tool for lldb debugger. First tracing code, then dumping all valid code to file, finally analysing it.

This is our official implementation for the paper: “INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering”.

极验滑块js代码脱壳-js控制流平坦化反混淆

differential privacy

tensorflow实战练习，包括强化学习、推荐系统、nlp等

This repository contains recent research papers, datasets, and source codes (if any) for Group Recommendation

implement Genetic Algorithm to recommend a food order according to cuisine preference and budget of the group

Code and Dataset intruction for our paper "Where Could We Go? Recommendations for Groups in Location-Based Social Networks" presented at the ACM WebSci'17

Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)

Attentive Group Recommendation

Matrix Factorization based Movie Recommender System for group of users.

Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan.

chinese bertsum ； bertsum 抽取式模型中文版本；给出案例数据、全代码注释；下载即可训练、预测、学习

Code for visualizing the loss landscape of neural nets

source code for neural network mode connectivity project looking for a percolation transition; effectively forked from https://github.com/timgaripov/dnn-mode-connectivity