This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
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Jun 5, 2024 - Python
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model-agnostic
Here are 21 public repositories matching this topic...
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 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
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
A model-agnostic library for generating explanations of machine learning predictions, supporting diverse XAI methods like CEM and LIME.
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Dec 10, 2025 - Jupyter Notebook
Document-first CLI for building agent workflows in Markdown and JSON.
markdown cli workflow-automation ai-safety human-in-the-loop ai-agents ai-security model-agnostic documentation-tools agent-framework llm prompt-engineering agentic-ai llm-workflow token-aware
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Jun 29, 2025 - TypeScript
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
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
NeurIPS 2025: Graph Your Own Prompt
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Sep 30, 2025 - 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
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
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
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
Open source SDKs, benchmarks, and examples for QWED - The Enterprise AI Verification Platform. Model-agnostic verification infrastructure for production AI.
javascript python enterprise machine-learning typescript sdk ai verification openai benchmarks llama formal-verification ai-safety mistral claude model-agnostic llm anthropic
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Nov 27, 2025 - Python
Pondera is a lightweight, YAML-first framework to evaluate AI models and agents with pluggable runners and an LLM-as-a-judge.
python ai agents model-agnostic ai-evaluation llms llm-evaluation llm-evaluation-framework llm-judge agent-evaluation ai-evaluation-framework rubric-based-evaluation yaml-first
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Oct 23, 2025 - Python
Flare is an open-source boundary engine for LLMs, enforcing minimal relational safety against synthetic intimacy, identity fusion, and role confusion.
ai-safety ai-ethics content-moderation model-agnostic ethical-ai llm-safety safety-layer verse-ality llm-middleware ai-boundary-engine relational-safety synthetic-intimacy boundary-engine alignment-tools safeguarding-tech identity-fusion
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Dec 9, 2025 - Python
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