phillip
Note
| phillip | Note | |
|---|---|---|
| 2 | 48 | |
| 539 | 35 | |
| - | - | |
| 0.0 | 9.9 | |
| over 1 year ago | 4 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
phillip
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[P] Imitation Learning (+RL) in Super Smash Bros Melee for Humanlike Agents
Project Nabla is an AI trained with deep neural networks using behavioral cloning and deep reinforcement learning self-play, similar to AlphaStar. It is enabled by the recent launch of a suite of software tools for the game known as "Slippi" which allow for us to save human replays. We train on a subset of ~100k tournament games. It is similar to the older Phillip project, which did not have the benefit of Slippi when it was created (and doesn't use any human replays).
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Imma write a machine learning program and let it run for a month
Could take a look at this https://github.com/vladfi1/phillip
Note
- Easily implement parallel training.
- This project allows you to easily implement parallel training with the multiprocessing module.
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Train neural networks in parallel using Python's multiprocessing module.
https://github.com/NoteDancing/Note This project allows you to train neural network in parallel using Python's multiprocessing module.
- A system for deep learning and reinforcement learning.
- A system for deep learning and reinforcement learning. (r/MachineLearning)
- [P] A system for deep learning and reinforcement learning.
What are some alternatives?
DI-sheep - 羊了个羊 + 深度强化学习（Deep Reinforcement Learning + 3 Tiles Game)
deep-RL-trading - playing idealized trading games with deep reinforcement learning
deep-significance - Enabling easy statistical significance testing for deep neural networks.
softlearning - Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
muzero-general - MuZero
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
neptune-contrib - This library is a location of the LegacyLogger for PyTorch Lightning.
pytorch-A3C - Simple A3C implementation with pytorch + multiprocessing
Muzero - Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space.
Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.
EmoPy - A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)