friendup
ElegantRL
| friendup | ElegantRL | |
|---|---|---|
| 39 | 6 | |
| 339 | 3,468 | |
| 0.0% | 2.2% | |
| 9.9 | 7.1 | |
| 2 days ago | 12 days ago | |
| JavaScript | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
friendup
- Friend Create for open source Friend OS 1.3 introduces collaborative editing; in the new version, this unique IDE is aiming to bring a new kind of development experience; allowing developers to build cloud or online apps that seem like native apps, backed by a web operating system.
- Mulighet til Ă„ delta i utvikling av Meta OS for den hardware-agnostiske fremtiden
-
New Friend OS web site!
We've just launched our new web site - https://friendos.com/ - check it out!
-
Puter
These types of systems are interesting, but I wonder if there's any use case where you would prefer them over the one you're browsing from.
FriendOS is arguably also the most advanced and complete of these systems: https://friendos.com/
- macOS for Web
-
Wikihow be like
He was probably thinking of something similar to https://friendos.com/
- FUI is finally on it's way (Friend User Interface)
- Is there a file manager similar to synologys "file station"
- Looking for people to participate in a new distribution model for webapps
- Web based FriendOS v1.2.8 was released today.
ElegantRL
- Does âmassively parallel simulationâ help advance Reinforcement Learning?
- ElegantRL: Cloud-Native Deep Reinforcement Learning
- ElegantRL: A Lightweight and Stable Deep Reinforcement Learning Library
-
[R] ElegantRL: A Lightweight and Stable Deep Reinforcement Learning Library
The ElegantRL library is featured with âelegantâ in the following aspects:
- Lightweight, Efficient and Stable DRL Library
- Lightweight, Efficient and Stable DRL Implementation Using PyTorch
What are some alternatives?
webos-homebrew-channel - Unofficial webOS TV homebrew store and root-related tooling
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
friendos-docker - R&D platform for developing apps for Friendos (https://friendos.com/)
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
moonlight-tv - Lightweight NVIDIA GameStream Client, for LG webOS TV and embedded devices like Raspberry Pi
tianshou - An elegant PyTorch deep reinforcement learning library.
SickGear - SickGear has proven the most reliable stable TV fork of the great Sick-Beard to fully automate TV enjoyment with innovation.
minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
hyperion-webos - hyperion.ng video grabber for webOS
Deep-Reinforcement-Learning-Algorithms - 32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Orange Forum - A light-weight forum
pytorch-ddpg - Deep deterministic policy gradient (DDPG) in PyTorch đ