AI Developer Tool · Python

GRACE-LAKSA

Public verification artifacts and aggregate results for GRACE-LAKSA (IEEE FMLDS 2026)

Daffa@DaBabyOx · Atlas 63.4 · #14= builder

What it is

The repository provides a verification script and aggregate results to check the internal consistency of the GRACE-LAKSA paper's reported scores without accessing restricted complaint-level data.

e-government
gnn
graph-neural-networks
long-tail-classification
machine-learning
nlp
reproducibility
research
retrieval-augmented

Scored at538cbb38 Nov 2026Changes since

Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored

Where it counts

Machine Learning60%
Data Science20%
NLP & LLMs20%
MLOps10%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

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96, shared rankFruitDeepLearning-ClassifierEducational Implementation · Jupyter NotebookThis repository provides a transfer learning image classifier for distinguishing healthy vs rotten fruits and vegetables using PyTorch and pretrained MobileNetV2 or EfficientNetV2 backbones.42.4/100ImplementationPop AlexandruMachine Learning
96, shared rankmlx-rl-dqn-dashboardML Application · PythonThe repository provides an end-to-end system for training Deep Q-Network agents using Apple's MLX framework and generating interactive dashboards to visualize training results, with automated deployment to GitHub Pages.42.4/100ImplementationMichael AdamsMachine Learning
99, shared rankttsBenchmarking Project · PythonThis repository contains a benchmarking script for the KittenTTS text-to-speech model under different ONNX configurations, along with a streaming chat application that combines an LLM with TTS for real-time speech output.42.1/100ImplementationRicardo TomasiMachine Learning
99, shared rankGRACE-LAKSAAI Developer Tool · Python42.1/100ImplementationDaffaMachine Learning
101oldnordic.github.ioEducational Implementation · HTMLThe repository is a personal blog (GitHub Pages) containing markdown posts that describe various AI projects and experiments authored by the maintainer, focusing on topics such as geometric language decoding, corpus-native curvature, graph-based reasoning, and code intelligence…41.9/100ImplementationLuiz Cesar SpiesMachine Learning

What it is

Where it counts

Around it on the Machine Learning board

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