Codes for the EMNLP 2020 paper -- "FIND: Human-in-the-loop Debugging Deep Text Classifiers"
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Nov 16, 2020 - Jupyter Notebook
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model-debugging
Here are 13 public repositories matching this topic...
Custom ML tracking experiment and debugging tools.
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Aug 2, 2022 - Python
XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.
python machine-learning computer-vision deep-learning neural-network grad-cam pytorch vision image-classification object-detection data-augmentation augmentation model-analysis interpretability explainable-ai xai torchvision explainability model-debugging saliency-maps
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Jun 2, 2026 - Python
PyTorch NaNs are silent killers. This hook catches them at the exact layer and batch — with ~3 ms overhead vs ~7 ms for set_detect_anomaly.
pytorch autograd model-debugging training-stability gradient-explosion nan-detection deep-learning-debugging forward-hooks
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Apr 30, 2026 - Python
ML-инструмент для диагностики ошибок модели: сегменты, fairness и calibration
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Apr 2, 2026 - Python
Neural network visual debugger for model graph inspection, activation health, and gradient diagnostics.
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May 5, 2026 - Python
file(1) of the ternary age — balanced-ternary-aware GGUF inspector and debugger in Rust
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Feb 8, 2026 - Rust
Dog Breed Classification using Transfer Learning in AWS Sagemaker
image-classification transfer-learning hyperparameter-tuning model-deployment dog-breed-classifier aws-sagemaker model-debugging
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Jun 7, 2022 - Jupyter Notebook
Easy-to-use UI based tool that visualizes the internal layers and activations of any Pytorch network that takes image as input , built using PyQt
visualization machine-learning deep-learning transformers cnn pytorch neural-networks pyqt interactive-visualizations model-visualization model-debugging ai-tools model-explainability
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Jun 24, 2025 - Python
Mechanistic interpretability that ships: MAIR-backed evidence bundles, receipts, and comparison packets.
interpretability model-debugging slsa mair evidence-bundles mechanistic-analysis ai-safety-infrastructure release-assurance
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Apr 3, 2026 - Python
BRACE - BetteR Accuracy from Concept-based Explanation
computer-vision deep-learning neural-networks data-augmentation image-recognision interpretable-deep-learning explainable-ai model-debugging
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Dec 9, 2021
Stop guessing why your MLX model outputs garbage. Triage in 30 seconds — no model load required.
python macos cli quantization mlx model-debugging apple-silicon safetensors local-llm mlx-lm llm-debugging
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Mar 13, 2026 - Python
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