PyTorch dataset debugger for computer vision — pause training, mine live loss signals to surface mislabels, class imbalance & outliers, then curate your image, video & LiDAR data without restarting

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

Codes for the EMNLP 2020 paper -- "FIND: Human-in-the-loop Debugging Deep Text Classifiers"

Custom ML tracking experiment and debugging tools.

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.

ML-инструмент для диагностики ошибок модели: сегменты, fairness и calibration

Neural network visual debugger for model graph inspection, activation health, and gradient diagnostics.

Dog Breed Classification using Transfer Learning in AWS Sagemaker

file(1) of the ternary age — balanced-ternary-aware GGUF inspector and debugger in Rust

Mechanistic interpretability that ships: MAIR-backed evidence bundles, receipts, and comparison packets.

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

BRACE - BetteR Accuracy from Concept-based Explanation

Stop guessing why your MLX model outputs garbage. Triage in 30 seconds — no model load required.

Model Debugging