ai-tools
Super-mario-bros-PPO-pytorch
ai-tools | Super-mario-bros-PPO-pytorch | |
---|---|---|
1 | 1 | |
1 | 970 | |
- | - | |
10.0 | 0.0 | |
12 months ago | almost 3 years ago | |
Ruby | Python | |
MIT License | MIT License |
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.
ai-tools
-
I created a command-line README Generator
If you're interested, you can find the repository here: https://github.com/jaredcd/ai-tools. This repo's README was generated with the tool, so it's a good example.
Super-mario-bros-PPO-pytorch
-
[AI application] AI agent plays Contra
if you are interested in Super mario bros, here you are https://github.com/uvipen/Super-mario-bros-PPO-pytorch
What are some alternatives?
libmelee - Open Python 3 API for making your own Smash Bros: Melee AI that works with Slippi Online
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
AI-Image-PromptGenerator - A flexible UI script to help create and expand on prompts for generative AI art models, such as Stable Diffusion and MidJourney. Get inspired, and create.
muzero-general - MuZero
program-y - Python 3.x based AIML 2.0 Chatbot interpreter, framework, related programs and knowledge files
pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
irwin - irwin - the protector of lichess from all chess players villainous
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
tango - Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
ruby-openai - OpenAI API + Ruby! 🤖❤️ Now with Assistants v2, Batches & Ollama/Groq 🚀
pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.