Results for “synthetic-data”
11 skillsdata-designer
Build synthetic datasets and data generation pipelines using the Data Designer library.
2.2k · bundle
nemo-data-designer-plugin
Build synthetic datasets and data generation pipelines using the Data Designer library.
2.2k · bundle
nv-generate-ct-rflow
Generates synthetic CT volumes and masks using NVIDIA's rectified-flow pipeline for medical imaging research.
2.2k · bundle
More results
digital-health-clinical-asr-build
Curates clinical-specialty term lists, generates IPA-tagged synthetic audio via TTS, and produces NeMo-format manifests for ASR benchmark evaluation.
2.2k · bundle
perfetto-sql
Translates natural language data intents into syntactically valid Perfetto SQL queries and executes them against a local trace file using trace_processor.
6.1k · bundle
dataverse-python-advanced-patterns
Generate production-ready Python code for Dataverse SDK with advanced patterns including error handling, batch operations, OData optimization, and Pandas integration.
36.2k
dataverse-python-production-code
Generate production-ready Python code using the Dataverse SDK with error handling, retry logic, OData optimization, and logging.
36.2k
dataverse-python-quickstart
Generate Python SDK setup, CRUD, bulk, and paging snippets for Microsoft Dataverse using official patterns.
36.2k
tao-run-deft-aoi
Automates the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models, including baseline evaluation, RCA, synthetic defect generation, data mining, retraining, and deployment gating until KPI targets are met.
2.2k · bundle
nv-generate-mr
Generates synthetic body MRI volumes using NVIDIA's NV-Generate-CTMR rflow-mr model. Wraps the upstream diffusion inference pipeline with config staging, output validation, and NIfTI volume summarization.
2.2k · bundle
phoenix-evals
Build and run evaluators for AI/LLM applications using Phoenix, covering error analysis, custom evaluators, experiments, and production monitoring.
36.2k · bundle