Offline Federated RL for O-RAN slice resource management on Colosseum traces

Sentiment Analysis Framework for Researcher with Pytorch

A research framework for implementing and evaluating poisoning attacks on Retrieval-Augmented Generation (RAG) systems, enabling the study of their security vulnerabilities.

DSPy framework for detecting and preventing safety override cascades in LLM systems. Research-grade implementation for studying when completion urgency overrides safety constraints.

Python framework for UAV navigation research: GPU MPPI vs CPU MPC paired comparisons (Wilson CIs + McNemar), AirSim Blocks + dummy_3d transferability, multi-drone coordination Δ analysis. Every YAML example carries its validated ablation result.

A lightweight Python library for reproducible computational experiments with an ultra-simple, smart API. From idea to insight in under 5 minutes, with zero configuration.

Computational framework for Constraint-Driven Stability with scientific toy models and applied AI decision surfaces.

Cross-Axis Analysis Framework | 横纵分析法 - 通过纵向时间深度 + 横向竞争格局的交汇分析，快速建立系统性认知

SentinelGuard is a modular anti-cheat research framework focused on detecting integrity violations, memory tampering, and abnormal behavior in FPS-style games. The project emphasizes defensive detection concepts and learning, inspired by modern kernel-assisted anti-cheat architectures.

Truth-first ontological and epistemological framework. Original articles preserved without modification. Focused on reality-aligned AI, knowledge, and responsibility.

Elite-tier research framework for robust Multimodal RAG under stochastic and adversarial noise. Implements Epistemic Gating (ENG), Symmetric Information Bottleneck (SIB) filtering, and Meta-Cognitive Loops to mitigate cascading hallucinations in vision-language retrieval.

Open scientific research framework for EVRT (Emergent Vacuum Response Theory), residual-force metrology, uncertainty-aware diagnostics, simulation-guided analysis, and artifact-aware experimentation in coherent nonequilibrium electromagnetic systems.

🌐 Detect and prevent safety overrides in LLM systems with this DSPy-based framework, ensuring actions align with safety constraints.

Mathematical and computational framework for modeling protein free-energy landscapes and thermodynamic state transitions.

AURORA is a lightweight research-oriented AI engineering framework for multi-task NLP training, evaluation, and FastAPI deployment.

Reproducible framework for auditing Global Health Estimates (GHE) using CRVS data, including bias signals, Artificial Smoothness Index (ASI), and a volatility-based reliability lens.

Universal thermodynamic framework for predicting viability and collapse across couples, organizations, consciousness, therapy, leadership, and AI systems

Text-image convergence detection framework. Identifies cross-modal misalignment and failure modes, and applies automated correction strategies.

A modular Image Restoration framework engineered with Design Patterns (Factory, Strategy, Registry). Unifying SOTA models like SwinIR, MambaIRv2, and CWFNet for Super-Resolution and Denoising.

Modular PyTorch lab for running configurable deep-learning experiments, with ready-to-use data loaders, training pipelines, and metric tracking for both vision and NLP benchmarks.