MachineLearningWithPython
Reinforcement_Learning
| MachineLearningWithPython | Reinforcement_Learning | |
|---|---|---|
| 1 | 1 | |
| 144 | 4 | |
| - | - | |
| 0.0 | 1.9 | |
| about 4 years ago | about 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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MachineLearningWithPython
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Machine Learning with Python | FULL course | 15 lessons with 15 projects | Material available (see in comments) | First lesson: k-Nearest Classifier | Apply model on real data: weather data
GitHub for material: https://github.com/LearnPythonWithRune/MachineLearningWithPython
Reinforcement_Learning
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Neural networks in Unity 3D
Check out my github repository. It's not really a "neural network library" yet, but it includes a simple example to get started with Unity ML agents and the Python API. I've implemented only the DDPG algorithm so far.
What are some alternatives?
Tic-Tac-Toe-Gym - This is the Tic-Tac-Toe game made with Python using the PyGame library and the Gym library to implement the AI with Reinforcement Learning
TradeMaster - TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
Soevnn - A neural net with a terminal-based testing program.
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.
ML-Algorithms - A collection of machine learning algorithms in Python, including supervised, unsupervised, reinforcement learning, and deep learning, with Jupyter notebooks.
nlp-class - A Natural Language Processing course taught by Professor Ghassemi