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.

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

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

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

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

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.

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.

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

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

𝒮𝒟-2 · System Deviation Diagnosis — a robustness diagnosis framework for end-to-end (E2E) autonomous driving. Decomposes the driving pipeline (vision → semantic → planning → control → outcome), measures stage-wise deviation between clean and stress CARLA runs, and localizes where robustness first collapses (InterFuser, TransFuser).

Research framework for Baby AD/DA asymmetry: perception-first agents, delayed action decoding, and intrinsic prediction-improvement rewards.

Open research framework for Cultural Multimodal Emotional Intelligence across voice, text, visual, narrative, and cultural context.

An institutional-grade, event-driven backtesting project that systematically tests an objective (Donchian / turtle-style) breakout trend strategy on gold (XAUUSD), and rigorously evaluates its risk and validity with Monte-Carlo simulation, controlled exit/filter experiments, and walk-forward analysis — honestly enough to falsify it rather than flat

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.

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.

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

Agentic, visualization-first ML research framework for actuaries & data scientists — a reconnaissance aircraft for research