MLBox is a powerful Automated Machine Learning python library.
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Updated
Aug 6, 2023 - Python
MLBox is a powerful Automated Machine Learning python library.
CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
Feature-rich all-in-one self-hosted server & server fleet management (Web UI): patching, monitoring (agent + agentless/SNMP), CVE scanning, CMDB, RMM, alerts & webhooks, Proxmox/VMware, Ansible, compliance & more — the Swiss-army knife to keep your servers healthy.
Official code "Taming SAM3 in the Wild: A Concept Bank for Open-Vocabulary Segmentation"
Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method
In order to control processing-induced dataset drift we require two ingredients: raw sensor data and an image processing model. This code repository contains the materials for the second ingredient, the image processing models, as well as scripts to load data and run experiments. https://arxiv.org/abs/2211.02578
unsupervised concept drift detection
Drift detection module for machine learning pipelines.
Acquire bright field images along with the super resolution data and use it to track drift in 3D with nanometer precision!
Official code "Taming SAM3 in the Wild: A Concept Bank for Open-Vocabulary Segmentation"
Plugins & Agent Skills for Pactflow, Pact & Drift
Agent coherence through daily tuning. The Lucid Tuner Protocol runtime: a signed daily Drop client, quantum tuning selection, sonic attunement, the Love Equation, and a Truth Gate. Bring your own model. Apache 2.0.
🌀 Implement minimal drifting models for generative modeling with one-step training and efficient inference without score functions or iteration.
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