417 skills found · Page 13 of 14
Kainmueller-Lab / Evaluate Instance SegmentationEvaluation scripts for nuclei instance segmentation in 2d and 3d
delta2323 / Chainer DeepmarkEvaluation scripts of Chainer for deepmark
vim-scripts / VimyaEvaluate buffer content as Python or MEL script in Autodesk® Maya®
Kesci / Baidu EvaluationScriptevaluation scripts
jcabaker / Land Atm CouplingDiagnostic scripts for evaluating land-atmosphere interactions in climate models
buaa-hipo / DynVec ArtifactEvaluation scripts for DynVec
famma-bench / Bench ScriptEvaluation script for FAMMA benchmark
cvanweelden / Plot Trec EvalPlotting scripts for trec_eval output. Useful for reporting on IR system evaluations.
Cardio-AI / Cmr Landmark DetectionSemantic Segmentation of CMR with a U-Net based architecture. Implemented in TF2.X. Trainings, prediction and evaluation scripts/notebooks for heatmap based right ventricle insertion point detection on cine CMR images. Koehler et al. 2022, BVM
githubsid / Scylla RedisScript/Documentation to evaluate ScyllaDB's Redis support
edwardzcl / Spatio Temporal SNNsA training, testing and evaluation python script for spiking neural networks with spatio_temporal conversion.
strojure / ZmapPersistent map with lazily evaluated values for Clojure(Script).
saketkc / ScRNA NB ComparisonScripts to reproduce the analyses in the paper "Comparison and evaluation of statistical error models for scRNA-seq"
evaluation-context-protocol / EcpECP is a standardized interface for orchestrating, auditing, and enforcing authority limits in AI Agent evaluations. It moves evaluation from "brittle Python scripts" to a deterministic infrastructure protocol
Junhaoo-Chen / MADFormerOfficial implementation of MADFormer, including training, sampling, and evaluation scripts as described in "MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation".
DensyDev / ScriptifyScriptify is a library to evaluate scripts with ability to add global functions and variables
NASA-DEVELOP / SLaCCThe Supervised Land Cover Classification (SLaCC) tool is a Google Earth Engine script created by the Summer 2019 Southern Maine Health and Air Quality Team. It uses NASA Earth observations, the National Land Cover Database, land cover classification training data, and a shapefile of Cumberland County, Maine, USA. The goal of the project was to evaluate land cover and tick habitat suitability in southern Maine. The SLaCC script occurs in two parts. Part 1 of the script allows users to create a supervised land cover map over a region using a Classification And Regression Tree (CART) model. Part 2 of the script allows users to create a map that displays the "edges" of chosen land covers.
jeongchanYu / Gradient Aware Loss FunctionThis repository provides the official implementation for the paper "Gradient-Aware Loss Function for Improved Learning in Speech Enhancement". It includes training scripts, evaluation code, and configuration files used in the experiments.
jonesiscoding / AvailableAvailable includes CLI tools for evaluating user availability, script output, and logging. These tools aid in scripting of tasks for macOS administration, such as those used in an MDM.
ovaheb / Image Denoising AstrostatisticsThis repository focuses on noise reduction in astronomical imaging using classical and deep learning-based techniques, including BM3D, DnCNN in MATLAB, and Python implementations. Scripts for training and evaluating models on noisy datasets are provided.
