VectorSpaceLab/AREX-Skill - 4페이지

tracking-sdk

Use Aim's Python SDK to create local repositories and runs, track metrics/params/media/artifacts/logs, query sequences, and validate SDK instrumentation safely.

원문 언어: 영어

aimet

Route AIMET install, PyTorch/ONNX quantization, GenAILab, model access, cluster/Pod, Qualcomm SDK, optimization, export, and repository tasks to focused operating guidance.

원문 언어: 영어

cluster-pod-workflows

Operate AIMET cluster and Pod workflows for GPU development, source builds, GenAILab runs, sync, exec, and cleanup.

원문 언어: 영어

genai-lab

Run and configure AIMET GenAILab LLM/VLM quantization scorecards with Torch or ONNX backends, exports, caches, and summaries.

원문 언어: 영어

install-and-build

Install, build, repair, and validate AIMET package environments and repository build/test workflows.

원문 언어: 영어

model-access-and-credentialed-evaluation

Handle AIMET model downloads, Hugging Face tokens, GitHub Actions scorecard runs, AWS/S3 checkpoints, caches, and benchmark-result comparability.

원문 언어: 영어

onnx-quantization

Use AIMET ONNX for QuantizationSimModel calibration, provider selection, encodings, QDQ export, graph passes, and ONNX PTQ utilities.

원문 언어: 영어

optimization-analysis-deployment

Use AIMET analysis, mixed precision, compression, debugging, export validation, and deployment artifact workflows after core quantization setup.

원문 언어: 영어

qualcomm-sdk-deployment

Prepare AIMET exports for Qualcomm AI Hub, QAIRT/QNN conversion, profiling, inference, and SDK command generation.

원문 언어: 영어

torch-quantization

Use AIMET Torch for model preparation, QuantizationSimModel calibration, PTQ/QAT, encodings, and Torch export workflows.

원문 언어: 영어

airweave

Route Airweave tasks to the most specific sub-skill: local-development, backend-api, source-connectors, frontend-dashboard, connect-widget, mcp-search, or monke-e2e.

원문 언어: 영어

backend-api

Operates Airweave's backend API surface for search tiers, collections, source connections, Connect sessions, browse-tree selection, sources, webhooks, usage checks, source rate limits, and streaming search debugging.

원문 언어: 영어

connect-widget

Operates the embeddable Connect widget iframe, client-side session UX, parent-child postMessage, OAuth popup recovery, theme updates, connection creation, folder selection, and sync progress handling.

원문 언어: 영어

frontend-dashboard

Operates Airweave's React dashboard: auth, organization context, API client behavior, collections, search UI, billing/admin pages, webhooks, auth providers, usage gates, and cron utilities.

원문 언어: 영어

local-development

Operate the Airweave local Docker stack safely: start, reuse, restart, recreate, destroy, seed environment, check ports, and recover health failures.

원문 언어: 영어

mcp-search

Operate the Airweave MCP search server in stdio and Streamable HTTP modes, including tool registration, collection and organization resolution, auth modes, Prometheus metrics, deployment knobs, and search-tool behavior.

원문 언어: 영어

monke-e2e

Operate Airweave's Monke connector E2E framework safely: discover connectors, understand runner flow, configs, auth, bongos, generated test data, and credentialed-test boundaries.

원문 언어: 영어

source-connectors

Implement, validate, and troubleshoot Airweave source connectors: decorators, registry metadata, auth/config schemas, browse trees, ACLs, federated search, incremental sync, and source rate limits.

원문 언어: 영어

aix360

Routes AIX360 explainability tasks across local black-box attribution, counterfactuals and certification, interpretable models, time-series explanations, datasets, and explanation-quality metrics.

원문 언어: 영어

counterfactual-and-certification

Use AIX360 for contrastive CEM/CEM-MAF explanations, black-box certification, GLANCE recourse, and order-constrained optimal-transport matching.

원문 언어: 영어

datasets-and-metrics

Guides AIX360 dataset acquisition, local-path validation, preprocessing contracts, explanation-quality metrics, and offline troubleshooting for HELOC, COMPAS, CDC, MEPS, Ford, Sunspots, CIFAR, MNIST, CelebA, eSNLI, and related datasets.

원문 언어: 영어

interpretable-models

Choose and operate AIX360's directly interpretable models, rule learners, prototypes, model differencing, teaching explanations, and optional neural interpretable methods.

원문 언어: 영어

local-black-box

Guide local post-hoc explanations for black-box predictors on tabular, text, image, and generic structured inputs with AIX360 0.3.0 wrappers, output checks, and local metrics.

원문 언어: 영어

time-series

Use AIX360 TSICE, TSLime, and TSSaliency for local numeric explanations of univariate or multivariate time-series models, including temporal perturbations, relevant history, exogenous inputs, and integrated-gradient saliency.

원문 언어: 영어

aizynthfinder

Use AiZynthFinder for retrosynthetic planning, configuration, route analysis, custom extensions, and focused development workflows.

원문 언어: 영어

configuration-and-data

Create, validate, and troubleshoot AiZynthFinder configuration files, stocks, model assets, public-data setup commands, and data-tool commands.

원문 언어: 영어

extension-and-development

Extend AiZynthFinder with custom hooks, stocks, scorers, policies, plugins, search algorithms, and focused development tests.

원문 언어: 영어

planning-workflows

Run AiZynthFinder retrosynthesis planning and one-step expansion through CLI, Python APIs, and optional notebook interfaces.

원문 언어: 영어

route-analysis

Inspect AiZynthFinder output files, route collections, reaction trees, route scores, clustering, images, and downstream summaries without rerunning a search.

원문 언어: 영어

alae

Use the ALAE repository for Adversarial Latent Autoencoder data preparation, CUDA training, checkpoint-backed generation, latent editing, and legacy metrics.

원문 언어: 영어

data-preparation

Routes ALAE dataset preparation, TFRecord layout validation, sample-image setup, style-mixing image layout, and face-alignment workflows.

원문 언어: 영어

generation

Use ALAE checkpoints for demo, image generation, reconstructions, style mixing, traversals, and principal-direction management.

원문 언어: 영어

metrics

Prepare and route safe ALAE FID, reconstruction FID, PPL, and LPIPS metric workflows.

원문 언어: 영어

training

Train ALAE and StyleALAE with configs, TFRecords, DDP, and checkpoints.

원문 언어: 영어

albumentations

Build, debug, serialize, and integrate Albumentations 2.x augmentation pipelines for images, masks, bboxes, keypoints, volumes, and PyTorch-style datasets.

원문 언어: 영어

framework-integration

Integrate Albumentations with PyTorch-style datasets, tensor conversion, optional extras, and DataLoader reproducibility.

원문 언어: 영어

pipeline-composition

Build, edit, validate, seed, and debug Albumentations augmentation pipelines with Compose and composition combinators.

원문 언어: 영어

serialization-and-reproducibility

Save, load, replay, inspect, and reproduce Albumentations augmentation pipelines with JSON/YAML serialization, ReplayCompose, applied-parameter tracking, custom Lambda mappings, deterministic seeds, and Hub caveats.

원문 언어: 영어

targets-and-formats

Apply Albumentations pipelines safely to images, masks, bboxes, keypoints, multiple images, volumes, 3D masks, and labels without corrupting geometry or data formats.

원문 언어: 영어

transform-catalog

Select and parameterize Albumentations 2D transform families, including pixel, crop, resize, geometric, dropout, mixing/domain adaptation, spectrogram, text, target support, interpolation, and fill behavior.

원문 언어: 영어