Plugins

4 plugins

Optimize GKE Costs

Analyzes current usage, recommends cost-saving measures, and applies optimizations to GKE workloads.

3 skills · plugin

Web Performance Audit and Optimize

Measure performance, identify bottlenecks, and apply fixes to improve Core Web Vitals.

9 skills · plugin

@brycewang-stanford

Twelve IMC-specific skills for the ACM Internet Measurement Conference, the SIGCOMM-sponsored empirical measurement flagship, grounded in the IMC 2026 call for papers, submission instructions, committees page, SIGCOMM/IMC event pages, the ACM Digital Library, and dblp.

2 skills · plugin

Python Test Suite with Coverage

Develop a comprehensive Python test suite using pytest, measure coverage, and increase to 100%.

3 skills · plugin

Results for “measure”

10 skills

Deepstream Profile Pipeline

Profile a DeepStream pipeline with Nsight Systems and derive its configs from the measurement.

Measures distributional similarity between original GAN-generated images and their semantically manipulated counterparts using the Fréchet Inception Distance (FID) metric.

Computes the InfoLM metric from torchmetrics for evaluating text generation against ground truth, with configurable information measures and sentence-level scoring.

More results

Measures inference latency of binarized, 8-bit, and 32-bit convolutional layers on edge devices to evaluate the efficiency and speedup of the Larq Compute Engine framework compared to standard implementations.

Evaluates the robustness and alignment with human judgment of reference-based and reference-free evaluation metrics for machine translation and summarization, particularly under adversarial conditions.

Computes the Recall metric using torchmetrics, including configuration for binary, multiclass, and multilabel tasks.

Nemo Evaluator Plugin

Run evaluation tasks against a NeMo Platform server using the Evaluator plugin CLI and Python SDK.

orchestra-research

Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance using TensorBoard.

10.4k · bundle

Agent Platform Eval Flywheel

Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology, including dataset creation, metric selection, failure analysis, and iterative improvement.

14.4k · bundle

Measures the trade-off between computation time and energy consumption in mobile edge computing by computing a weighted sum of the two objectives, given system configuration parameters and per-user task characteristics.