Welcome to the official repository of SINQ! A novel, fast and high-quality quantization method designed to make any Large Language Model smaller while preserving accuracy.
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Feb 23, 2026 - Python
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model-agnostic
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This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
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Jun 5, 2024 - Python
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
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Jan 31, 2023 - Python
[ICLR24] AutoVP: An Automated Visual Prompting Framework and Benchmark
efficient-inference finetuning reprogramming model-agnostic downstream-tasks low-data-regime foundation-models visual-prompt visual-prompting ood-robustness
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Sep 18, 2025 - Python
Official implementation of FedGAT: Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction (https://arxiv.org/abs/2502.04521)
python deep-learning pytorch artificial-intelligence medical mri transformer synthetic-images reconstruction imaging autoregressive heterogeneous collaborative-learning generative-models federated-learning privacy-preserving-machine-learning model-agnostic
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May 22, 2025 - Python
✨ Official code for our paper: "Uncertainty-o: One Model-agnostic Framework for Unveiling Epistemic Uncertainty in Large Multimodal Models".
uncertainty reasoning multimodal model-agnostic o1 large-language-models chain-of-thought large-multimodal-models hallucination-detection hallucination-mitigation
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Mar 13, 2025 - Python
Official project website for the AAAI 2022 paper "Stereo Neural Vernier Caliper"
tracking deep-learning detection voxel perception object-detection autonomous-driving instance-level stereo-vision multi-resolution stereo-camera tracking-by-detection 3d-computer-vision refinement-network robot-vision 3d-pose-estimation 3d-object-detection 6dof-pose model-agnostic high-resolution-net
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Feb 26, 2023 - Python
NeurIPS 2025: Graph Your Own Prompt
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Dec 21, 2025 - Python
A model-agnostic library for generating explanations of machine learning predictions, supporting diverse XAI methods like CEM and LIME.
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Feb 18, 2026 - Jupyter Notebook
Post-hoc prototype-based explanations with rules for time-series classifiers
machine-learning deep-learning time-series prototypes interpretability explainability model-agnostic
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Aug 29, 2025 - Python
Robust regression algorithm that can be used for explaining black box models (Python implementation)
python machine-learning research sparse-regression research-paper explainable-ai explainable-ml interpretable-machine-learning robust-regression model-agnostic black-box-explanations local-explanations explain-classifiers slise slise-algorithm
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May 11, 2024 - Python
Robust regression algorithm that can be used for explaining black box models (R implementation)
machine-learning r research r-package sparse-regression research-paper explainable-ai explainable-ml interpretable-machine-learning robust-regression model-agnostic black-box-explanations local-explanations explain-classifiers slise slise-algorithm
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Aug 17, 2023 - R
A simple generic (TensorFlow) function that implements the MAML algorithm for regression problems as designed by Chelsea Finn et al. 2017
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Dec 2, 2023 - Python
Codebase for CIKM '24 paper -- PARs: Predicate-based Association Rules for Efficient and Accurate (Model-Agnostic) Anomaly Explanation
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Oct 21, 2024 - Python
Segmented Sampling for Boundary Approximation (SSBA) generates discrete decision boundary points for generating counterfactual explanations or bounded counterfactuals (restricted feature change).
machine-learning mathematics high-dimensional-data decision-boundaries model-agnostic counterfactual-explanations
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Nov 13, 2025 - Jupyter Notebook
A model-agnostic autonomous reasoning system that improves decision quality by learning from structured failure, strictly separating creativity (LLM) from intelligence (Loop).
python autonomous-agents system-design cognitive-architecture ai-research self-correction model-agnostic decision-intelligence llm-reasoning agi-research failure-learning
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Dec 27, 2025 - Python
Introducing a novel lightweight, post-hoc, single-pass, model-agnostic uncertainty quantification model for pretrained deep neural networks, designed for efficiency, scalability, and compatibility.
deep-learning calibration uncertainty-neural-networks pretrained-models uncertainty-quantification post-hoc out-of-distribution-detection model-agnostic
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Jul 2, 2025 - Python
RFC analysis agent with empirical validation. Compares custom API tools vs WebSearch-only. Real-world testing proved custom tools produce superior structured output. Model-agnostic MCP server works with Claude, GPT-4, DeepSeek, Gemini.
python mcp rfc gemini ietf claude structured-output production-ai model-agnostic datatracker gpt4 llm deepseek agent-sdk empirical-validation
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Dec 30, 2025 - Python
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
ai time-series artificial-intelligence forecasting industrial ibm-research interpretability fault-detection explainable-ai explainable-ml xai ibm-research-ai explainability model-agnostic aix360 kdd2023 aix360-for-time-series-and-industrial-use-cases
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Aug 14, 2023 - TeX
agentic CLI tool in rust using openrouter
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Feb 27, 2026 - Rust
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