Focus on Linux C2. The open source part is reverse shell management.

Python coded examples and documentation of machine learning algorithms.

RTSeg: Real-time Semantic Segmentation Comparative Study

Deep Q-learning for playing flappy bird game

PhyCV: The First Physics-inspired Computer Vision Library

[NeurIPS 2023] Official implementations of "Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models"

Joint Semantic Detection and Dissemination Control of Phishing Attacks on Social Media via LLama- Based Modeling

Pytorch code for semantic segmentation using ERFNet

A database operations and data analysis AI agent

An educational machine learning library.

A collection of notes, codes, and pictures I have related to computer vision

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View

BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models

A comprehensive, production-ready framework for building intelligent AI agents with advanced capabilities including tool calling, persistent memory, intelligent concurrency, and event-driven observ…

[NeurIPS 2025 (D&B)] Rethinking Evaluation of Infrared Small Target Detection

[ICCV 2025] Official Implementation of "ProLearn: Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation"

A hybrid deep learning framework for toxicity prediction