Mastering Diverse Domains through World Models
#计算机科学#Mastering Atari with Discrete World Models
翻译 - 运用离散世界模型掌握Atari
Home Assistant integration for Dreame robot vacuums with map support
Implementation of Dreamer v3 in pytorch.
Official code for the paper "LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes".
Dream to Control: Learning Behaviors by Latent Imagination
Pytorch implementation of Dreamer-v2: Visual Model Based RL Algorithm.
Digital Audio Workstation with Python; VST instruments/effects, parameter automation, FAUST, JAX, Warp Markers, and JUCE processors
DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤
区块链科学家本地化小工具
This custom integration provides a way to present a live view of a map for Xiaomi (Roborock/Viomi/Roidmi/Dreame) vacuums without a need for rooting.
翻译 - 这种自定义集成提供了一种呈现小米真空地图实时视图的方法。
This card provides a user-friendly way to fully control map-based vacuums in Home Assistant. Supported brands include Xiaomi (Roborock/Viomi/Dreame/Roidmi/Valetudo/Valetudo RE), Neato, Wyze, Roomba, E...