GitHub / Hugging Face で公開している成果物をまとめています
GitHub と Hugging Face で公開している実装をまとめたポートフォリオです。Hugging Face Spaces のデモは、このページ内でそのまま操作できます。コードの譲渡やライセンスについても、ご希望があればご相談いただけます。
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Portfolio
GitHub と Hugging Face の公開データを1時間ごとに自動取得して表示しています。同じツールをコード・モデル・デモとして公開しているものは、1つにまとめて表示しています。
データは1時間ごとに更新されます。
「HF Spaces」タブのカードをクリックすると、このページを離れずにアプリをそのまま操作できます。インストールもサインアップも不要です。コードの中身より先に、まず挙動をご確認いただくのがいちばん早いと思います。
NagaYu/sumi
[feature-complete] Japanese PII detection that holds up on hard negatives — a 0.13B CPU token classifier, a rule layer, and reversible masking. Drops into Presidio in one line.
NagaYu/halfword
AAC word prediction optimised for time to utterance, not keystrokes saved. The divergence is driven by positional cost, not by how slow the access method is.
NagaYu/mondegreen
用語集を音韻的な硬い制約に変換するローカルASR訂正器 / Local Japanese ASR post-correction: a private glossary compiled into a hard phonetic constraint. Optimises for not breaking correct text.
NagaYu/molt
Elastic on-device inference: swap the LLM mid-sentence and carry the KV cache across. A generation that hits memory pressure migrates to a smaller model between two tokens instead of being reclaimed or restarted.
NagaYu/saccade
[closed] Always-on edge VLM research prototype: prediction-error gating + motion-compensated KV reuse + hard energy budgets
NagaYu/sieve
Deterministic RAG context auditor: tells you whether retrieval or generation failed, what context was wasted, and which chunks carry prompt injections or secrets. No model calls, no provider keys.
NagaYu/canary
Prompt version registry and deterministic regression gate for LLM changes — no model calls, no LLM judge
NagaYu/signpost
Rule checkers ask "is there a label?". Signpost asks "does the label mean anything?" — a small multilingual model for accessibility label quality, plus a constrained rewriter.
NagaYu/cue
Cue — a small multilingual model that scores subtitle break cost, plus a constraint-satisfying re-segmenter (SubER-first, guarantees normative compliance, strong on no-space languages).
NagaYu/rebar
Restore the heading hierarchy of Japanese documents from flat text, and chunk along it for better retrieval. CPU-only, layout-independent.
NagaYu/deference
Detect the direction of deference in Japanese honorifics (keigo), with the source citation. Where surface rules score 0%, this reaches 97%. 0.28B, CPU, 26ms.
NagaYu/tessera
Span-level, multi-label language identification. Recovers low-resource text that document-level LID discards. Runs behind GlotLID/OpenLID, not instead of them.
NagaYu/isotope
Untrusted data can inform an agent's action without authorizing it. Quantitative information-flow tracking inside the forward pass: attack success 0.44 -> 0.00 at 0.90 benign utility.
NagaYu/kvine
Branch-aware KV cache treating agent trajectories as a persistent copy-on-write tree — research prototype (PyTorch + HF transformers)
NagaYu/assay
Detecting model substitution with per-request internal receipts: signed hidden-state sketches verified at 0.63x a full recompute, with 100% coverage
NagaYu/downstep
Calibrated Japanese pitch-accent prediction for compounds that are not in the TTS dictionary. Abstains below a confidence threshold and defers to OpenJTalk, so it can be dropped into VOICEVOX / Style-Bert-VITS2 without making them worse.
NagaYu/flashback
Find the step your training run broke on, from 452 bytes/step. Delta-compressed branchable state history + all-step sketch index + consensus bisect.
NagaYu/ante
Accept contributions on evidence, not on authorship. An acceptance protocol that moves the burden of proof to the claimant — verifier, GitHub Action, Space, and a 42-PR benchmark.
NagaYu/parity
Certified vocabulary augmentation without continued pretraining: cut non-English token cost on open-weight models with a proven bound on behaviour drift.
NagaYu/stemma
Model provenance from weights alone: derivation direction, multi-parent merges and mixing ratios, recovered over HTTP Range reads without downloading checkpoints.
NagaYu/scribe-koyobun
Context-aware kanji/kana checker for Japanese official documents — judges the context-dependent usage that dictionaries and regex can't, and cites the normative clause. Rule layer + small token-classification model + Hugging Face Space/Model/Dataset.
NagaYu/dissent
Find formalization errors nobody is looking for: N independent formalizations of a contract clause, then an SMT search for the input where they disagree. Synthetic clauses only. Not legal advice.
NagaYu/litmus
Sound error bounds, symbolic GPU safety checks and targeted falsification for Triton kernels. 88% of planted bugs pass the standard fixed-shape allclose test; Litmus catches 100% with 0% false positives, on CPU.
NagaYu/groundhog
Share the world, resample the consequences: deterministic record/replay of exogenous randomness for branching agent RL. 29x lower advantage variance with no loss of counterfactual fidelity.
NagaYu/quorum
Rank-targeted nested sequential design for LLM evaluation: reach the same ranking conclusion for less, and see which comparisons the data never supported.
NagaYu/cairn
Leave, come back, same world — and edit it. An explicit world ledger makes video generation return-consistent (O(1) in absence duration) and editable.
NagaYu/llama-local-lab
Zero-Cost Llama Evaluation Studio — plan quantization, generate GGUF commands, model inference cost, and run Llama in your browser. No server, no API key.
NagaYu/phonebook
Japanese corporate names to katakana readings: a small CPU-friendly G2P with a copy mechanism, constrained decoding, calibrated confidence, and a known/unseen/hard/ambiguous split design built so its own claims can be refuted.
NagaYu/unquote
Email zone segmentation that never deletes body text. A 31M-parameter CPU model that tags every line as body/quote/attribution/signature/disclaimer/mobile-footer/auto-reply/forward-header, with a calibrated gate that keeps anything it is unsure about. 0.008% body loss vs talon's 4.18%.
NagaYu/crowd
Estimate how large a crowd a description hides in, then mask only what is needed. On-device anonymity-set estimation with exact counting, calibrated intervals, and a minimal-mask optimiser.
NagaYu/interlock
A shield that checks whether an agent's next tool call stays inside what the user actually asked for. Detects scope expansion that content-based shields cannot see.
NagaYu/ingot
Inverted generation: construct the label first, render the sentence second. Strictly-labelled, contamination-free synthetic data without a judge.
NagaYu/customs
Declare what leaves. Ration what it costs. Tiered LLM routing under a daily free quota, with data minimisation by query decomposition and machine-checkable egress records.
NagaYu/rubato
Predict the silence as a distribution, then decide when to speak. A model-agnostic turn-taking timing layer for spoken dialogue: calibrated silence-survival forecasting + optimal stopping under an asymmetric cost.
NagaYu/bleep
Sensitive speech regions without transcription
NagaYu/warden
Policy decisions + tamper-evident ledger for LLM traffic
NagaYu/ClaimCheck
Verify LLM answers against the context they came from
NagaYu/EchoCache
Semantic cache and cost observability layer for LLM APIs
NagaYu/sludge
Dark patterns in UI trees. Not a legality call.
NagaYu/PromptGate
Prompt injection, PII and secret detection in your browser
NagaYu/promptgate-rules
説明はまだ登録されていません。
NagaYu/warden-policy-pack
説明はまだ登録されていません。
NagaYu/claimcheck-rules
説明はまだ登録されていません。
NagaYu/echocache-matcher
説明はまだ登録されていません。
NagaYu/sludge-small
説明はまだ登録されていません。
NagaYu/bleep-0.09b
説明はまだ登録されていません。
NagaYu/scribe-usage-classifier
説明はまだ登録されていません。
NagaYu/AdRadar
📡 Competitive Meta (Facebook) Ad Library radar — detect competitors' new creatives & long-running winners, alert Slack/Discord. Experimental.
NagaYu/IntentCraft
🪄 Turn your Swift code into Siri & Apple Intelligence (App Intents) integrations — 100% on-device, powered by Apple FoundationModels. CLI + native macOS app.
NagaYu/webgpu-radar
[single-device complete] Real WebGPU capability detection for browser AI — compute micro-benchmarks, community quirks DB, tiered recommendations with WASM fallback. Not just 'if (navigator.gpu)'.
NagaYu/smolvlm-coreml
SmolVLM-256M fully on Core ML + dependency-free Swift CLI with bit-exact HF preprocessing. Includes an empirical catalog of Core ML runtime constraints (stateful models, quantization, ANE).
NagaYu/pcc-verify
Verify your own Apple Intelligence requests against Apple's Private Cloud Compute transparency log
NagaYu/local-first-sync
Photo/file sync across all your nearby Apple devices at once — Multipeer Connectivity with async/await, per-peer progress, and SwiftData sync state. No cloud, no server, no account.
NagaYu/DualIntent
One Swift function → a Siri/Shortcuts App Intent and an MCP tool, generated at compile time
NagaYu/FoundationRadar
Measure what Apple's Foundation Models stack can actually do on this device — availability, real context size, real latency, PCC signals — instead of trusting a boolean.
NagaYu/hybrid-voice-separation
Educational demo: hybrid air + bone conduction voice separation (synthetic-data DSP pipeline)
NagaYu/audiencesync
Secure, in-memory Reverse ETL: extract high-value customers, SHA-256 hash their PII, and sync to Meta Custom Audiences + Google Customer Match. No CSV files, ever.
NagaYu/edge-gtm
Run server-side Google Tag Manager (sGTM) on Cloudflare Workers for $0-$5/mo, with first-party cookie rewriting that survives Safari ITP.
NagaYu/SwiftGuard
A fully on-device security & quality auditor for Swift code — powered by Apple's FoundationModels (on-device LLM / Private Cloud Compute). Your code never leaves your Mac.
NagaYu/plumb
Is the gate still vertical on what it skips? An audit layer for gated always-on egocentric perception (EPIC, EgoTrigger, Ego-METAS): skipped-part degradation, drift, and a bit-identical zero-trust guarantee. Synthetic-only; negative results included.
NagaYu/clearance
Structural isolation and revocation propagation for shared vector indexes. Your ACL filter protects the index, not the summary you built from it yesterday. Research prototype, synthetic data only.
NagaYu/dendro
Prove a document existed before a date from independent archives, instead of guessing whether it looks generated.
NagaYu/provably-local-mobile
Prove in your CI that an on-device feature needs no network. Android (Kotlin) + iOS (Swift) testing libraries. MIT.
NagaYu/local-first-llm-react-native
On-device vs. cloud routing policy for React Native LLM apps. The RN sibling of local-first-llm, wrapping react-native-executorch.
NagaYu/executorch-matrix
Compare ExecuTorch hardware backends and quantization levels for your model on your actual device, with a reasoned recommendation. Honest about what needs real hardware.
NagaYu/local-first-llm-android
Provider-agnostic, per-request on-device/cloud LLM routing for native Android (AICore + any cloud). Kotlin sibling of local-first-llm.
NagaYu/aicore-radar
Measure what Android's on-device AI (AICore / Gemini Nano via ML Kit GenAI) can actually do on this device — typed availability, quota/foreground error wrapping, latency benchmark, measured context window. No telemetry.
NagaYu/tier-matrix
Mock every capability tier your on-device AI app can fall back to and re-run a test through each one — not just the happy path.
NagaYu/local-first-audit
Statically scans a JS/TS codebase for LLM API call sites and classifies each one's on-device migration suitability
NagaYu/webmcp-sidecar
Bring your own model to WebMCP-enabled sites: a side panel AI assistant that discovers and calls tools a page has registered via WebMCP.
NagaYu/local-first-rag-apple
On-device semantic search for Apple platforms that also powers system Spotlight and Siri/Shortcuts — NLEmbedding + SwiftData + Core Spotlight + App Intents, one API surface.
ここに出しているのは一部です。公開リポジトリは全99件あります。
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