[ICML2026 Spotlight] UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture
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Updated
Oct 21, 2026 - Python
[ICML2026 Spotlight] UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture
ecotrend-ista Home Assistant Integration
Unofficial python library for the EcoTrend-ista API
An Image Reconstructor that applies fast proximal gradient method (FISTA) to the wavelet transform of an image using L1 and Total Variation (TV) regularizations
Collection of resources for coding, ECU progamming and general BMW adventures.
Headless BMW ISTA+ diagnostics driven by an AI agent over MCP: reads fault memory and test plans as text, looks the issue up on the web, walks you through it, and asks before anything that writes to the car.
Free, open-source, offline BMW diagnostics for E-series owners (E46, E90 and more): scan every module, decode faults and dash warnings, catch intermittent faults, track your car’s health over time, run graphed component tests and service functions, back up and code comfort modules. Windows, macOS, Linux.
Практический курс по Python: MAE, Lasso, Ridge и ElasticNet. Субградиентный и координатный спуск, L1/L2-регуляризация, примеры и решения задач Stepik.
ista-calista Home Assistant Integration
Implementation and brief comparison of different First Order and different Proximal gradient methods, comparison of their convergence rates
One-click switch between legacy BMW E-series coding tools (INPA, WinKFP, NCS Expert) and factory ISTA+
Home Assistant integration for ista Denmark water and heat consumption
This is the ISTA DeepSeek-V4
Home Assistant integration for monitoring ISTA energy consumption
PowerShell script to get readings of Heat Cost Allocators radiator meters operated by ista Nederland B.V.
Home Assistant integration - Mijn Ista
Home Assistant integration - Mijn Ista
Home Assistant integration for istaonline.dk (unofficial): heat and hot water as long-term statistics. Forked from jontingvold/ha-ista-norway.
Some notes on convex optimization
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