Elliot
sisinflab
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
OPENAGENTSKILL / DIRECTORY
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sisinflab
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
aangelopoulos
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
fcakyon
Packaged version of ultralytics/yolov5 + many extra features
lettucecfd
Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method
PacktPublishing
Time Series Analysis with Python Cookbook, published by Packt
QueensGambit
A Deep Learning UCI-Chess Variant Engine written in C++ & Python :parrot:
rentruewang
Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.
autogluon
Multi-Agent System Powered by LLMs for End-to-end Multimodal ML Automation
IFCA-Advanced-Computing
Frouros: an open-source Python library for drift detection in machine learning systems.
GoogleCloudPlatform
Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud
aniketmaurya
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Galileo-Galilei
A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)
bosch-aisecurity-aishield
AIShield Watchtower: Dive Deep into AI's Secrets! 🔍 Open-source tool by AIShield for AI model insights & vulnerability scans. Secure your AI supply chain today! ⚙️🛡️
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
RedSkill · 流白Livo · 1.0.0
Describe a rain curtain, growing flowering branches or a flock of swallows. This RedSkill package adapts three p5.js templates into sketch.js code with custom colors, density and speed.
Noncommercial use only · Local runtime recording · Use on the source platform