MachineLearningWithPython
Reinforcement_Learning
MachineLearningWithPython | Reinforcement_Learning | |
---|---|---|
1 | 1 | |
144 | 5 | |
- | - | |
0.0 | 1.9 | |
almost 2 years ago | about 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
- | 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.
MachineLearningWithPython
-
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
-
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:
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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.
perceptron-asm - A single-layer perceptron in x86 assembly to distinguish between circles and rectangles.
ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
nlp-class - A Natural Language Processing course taught by Professor Ghassemi
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
machine_learning_basics - Plain python implementations of basic machine learning algorithms
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
ml-mipt - Former repository of ML course. Redirect link included