Model Ablation Tool-Kit for Deep Learning Model
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Updated
Dec 20, 2023 - Python
Model Ablation Tool-Kit for Deep Learning Model
Distribution transparent Machine Learning experiments on Apache Spark
The production engine for directional ablation. Unalign / remove models censorship efficiently on any hardware.
Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.
Explainability of Deep Learning Models
Evaluating XAI methods through ablation studies.
Explainability of Brain Tumour Segmentation Models
O(N) attention with a bounded inference KV cache. D4 Daubechies wavelet field + content-gated Q·K gather at dyadic offsets.
Library to compute 3D surface-distances for evaluating liver ablation/tumor completeness based on segmentation images.
Multi-agent verification for AI outputs: claim verification, RAG diagnostics, pre-action verification for agentic AI. Includes ablation studies proving multi-agent vs single-prompt tradeoffs, FaithBench benchmarks, and bias-triggering evaluation methodology
Does a CLAUDE.md actually change how Claude behaves? An ablation harness: run adversarial traps with the rules and without them, grade blind, and test whether the difference is real.
Causal Chain-of-Thought step faithfulness evaluation harness — quantifies whether reasoning steps actually drive model outputs or are decorative
LedgerMem — a per-turn memory-influence ledger for coding agents: leave-one-out replay ablation proves which stored memory rows actually changed the action, so you can trust and prune your agent memory store.
Ablate your CLAUDE.md / AGENTS.md rules to see which ones actually change agent behavior vs. just cost tokens.
Step-gated, reference-grounded Claude skills for laser process engineering — DOE for ablation/dicing, diagnostics, and operational SOPs.
Reproducible agent harness ablations and verification traces
Repository for Ablation Report for Schnapsen
Benchmark scaffold for glyph-shape descriptors. Three borrowed baselines (ORB, Hu, HOG) run; our own descriptor can't yet — blocked on D-06 retrieval of two Indus source files. Methods package, not a glyph claim.
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