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BioPredictor v3.6: A Browser-Based Platform for Drug-Protein Interaction Analysis and 3D Visualization
A browser-based bioinformatics application that combines machine learning, binding affinity prediction, and 3D target visualization to provide practical tools for drug screening and early bioinformatics evaluation.
Intent Preservation Benchmark: Evaluating Large Language Models' Ability to Preserve Human Intent in High-Risk Scenarios
An open-source evaluation framework designed to measure whether large language models faithfully preserve humans' original intent during complex information transformation processes, with a special focus on high-risk fields such as healthcare.
AI 2048 Coach: A Neural Network System for Real-Time Guidance of iPhone 2048 via Screen Mirroring
An innovative AI game coaching system that captures the iPhone screen via AirPlay mirroring, recognizes the 2048 game board in real time, and uses a self-learned n-tuple neural network to provide optimal sliding suggestions for each step within 45 milliseconds.
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MLLM-Shap: Implementing Shapley Value Explanation Method for Multimodal Large Language Models
A bachelor's project in Data Science at Warsaw University of Technology extends the traditional Shapley value explanation method to multimodal large language models, supporting interpretability analysis for text and audio models.
NeuralLinearSolve.jl: A Neural Network-Enhanced Linear System Solver
A Julia package from the SciML ecosystem that uses neural network technology to accelerate and enhance traditional linear solvers, providing a new solution paradigm for large-scale scientific computing.
BaddieVision: An Intelligent Badminton Video Analysis System Based on Computer Vision
BaddieVision is a complete badminton video analysis toolchain that integrates MediaPipe pose estimation, TrackNetV3 shuttlecock tracking, YOLO object detection, and LSTM temporal classification technologies to enable end-to-end automated analysis from raw video to tactical insights.
MediLens-AI: An Intelligent Medical Assistant System Integrating RAG Technology
MediLens-AI is a comprehensive AI medical assistant that combines machine learning-based disease prediction, Gemini-powered medical report analysis, and an RAG-driven intelligent Q&A system. It demonstrates how to safely integrate large language models with medical data, providing a technical reference for personalized health consultation.
ConnectFourAI: An Intelligent Connect Four Game Engine Based on Adversarial Search
ConnectFourAI is a modular Connect Four game engine that fully implements an AI system ranging from basic game rules to advanced adversarial search algorithms. The project includes random agents, rule-based agents, and Minimax agents with Alpha-Beta pruning, making it an excellent teaching case for understanding game tree search and competitive AI design.
SentriAI: Large Language Model Security Assessment and Threat Intelligence Platform
SentriAI is a comprehensive platform focused on large language model (LLM) security assessment, integrating threat intelligence, behavior analysis, MITRE ATLAS framework mapping, and compliance monitoring functions to provide all-round support for AI security research.
WODanalytics: A CrossFit Training Analysis Platform Based on Django and Machine Learning
A comprehensive training management platform integrating Django REST Framework, Docker containerization, and machine learning prediction models, designed specifically for CrossFit and hybrid training.
AI Engineering Lab: Generative AI and RAG Practical Project Collection
A collection of practical projects showcasing generative AI, RAG pipelines, AI agents, and LLM applications. Each project can run independently and is accompanied by complete documentation.
CrowdDNA: A Crowd Risk Prediction System Based on Graph Neural Networks and Computer Vision
An intelligent analysis platform that uses YOLOv8, ByteTrack, Graph Attention Network (GAT), and GRU temporal models to perform real-time risk classification on crowd videos.
ReX-CoDA: A Machine Learning Imputation Framework for Left-Censored Geochemical Composition Data
ReX-CoDA is a model-agnostic iterative framework specifically designed to handle the common left-censorship problem in geochemical data. It combines machine learning prediction with Mills ratio truncated normal correction to perform composition-aware missing value imputation in the additive log-ratio space.
KoopmanGraph: A Spatiotemporal Graph Dynamics Modeling Framework Fusing Koopman Operator Theory and Graph Neural Networks
KoopmanGraph is an open-source PyTorch library that combines graph neural networks (GNNs) with Koopman operator theory, providing topology-aware spatiotemporal dynamic prediction capabilities for scenarios such as traffic networks, smart grids, and epidemic modeling.
transformer-cpp: Implementing the Transformer Architecture from Scratch with Modern C++
transformer-cpp is an educational project that implements the Transformer architecture entirely from scratch using modern C++, without relying on external machine learning frameworks like PyTorch or TensorFlow. It helps users gain a deep understanding of core components such as attention mechanisms, multi-head attention, and feed-forward networks.
Integrating Traditional Statistics and Machine Learning: A Study on SPY Volatility Prediction Based on Conformal Prediction
This article introduces an SPY volatility prediction project that combines GARCH models, Random Forest, and conformal prediction techniques, exploring the complementarity between traditional statistical methods and machine learning in financial market prediction.
NLP-Based Phishing Email Detection System: Multi-Model Comparison and TF-IDF Feature Engineering Practice
This article introduces a phishing email detection project built using natural language processing (NLP) technology, comparing four models: logistic regression, random forest, naive Bayes, and neural networks, and exploring the application of TF-IDF and metadata features in the field of email security.
Cura LLM: A Programmatic Tool Calling and Aggregation Framework for Large Language Models
This article introduces the Cura LLM project, an open-source application that supports programmatic tool calling for large language models (LLMs) and aggregation of OpenAI-compatible endpoints, exploring standardization and integration solutions for the LLM tool ecosystem.
Research on Hyperparameter Optimization of Fluid Dynamics Neural Networks: A Systematic Exploration of 648 Combinations
This article introduces an undergraduate thesis study that implements neural networks using PyTorch and pure NumPy, conducts a systematic search of 648 hyperparameter combinations on fluid dynamics simulation datasets, and explores the application of mini-batch gradient descent in scientific computing.
Care AI: An Intelligent Medical Assistant Integrating Modern Medicine and Ayurvedic Wisdom
This article introduces the Care AI project, a next-generation medical assistant combining generative AI, computer vision, and traditional machine learning, exploring the possibility of integrating modern medicine and traditional medicine in the AI era.
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