Open-source PyTorch tool that traces live training signals back to the data samples causing them. Pause the training to find mislabels, outliers, and class imbalance in image, video, and LiDAR datasets. And train again.

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.

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

Dog Breed Classification using Transfer Learning in AWS Sagemaker

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

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

Model Debugging

BRACE - BetteR Accuracy from Concept-based Explanation

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