ML-foundations
Reinforcement_Learning
| ML-foundations | Reinforcement_Learning | |
|---|---|---|
| 1 | 1 | |
| 2,984 | 5 | |
| - | - | |
| 5.4 | 1.9 | |
| 18 days ago | about 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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ML-foundations
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Worried about Calculus
As others have said, you won't need calculus immediately, but it's important that you make a good attempt at learning up to Calc3. I also didn't have a math heavy undergrad so it took a lot of self-study for me, but it's possible. Simulation has a great math boot camp at the beginning to review everything but you'll want to be prepped with Calc before that because that class is all calculus based probability. Some other good resources are the 3Blue1Brown videos on YouTube. They have a great series for both calc & linear algebra to talk through all the intuition with visuals. I also really like John Krohns series because you code through the math which is very applicable for us in this program. I only did his linear Algebra, but he has a whole series with Calc and probability, too. https://github.com/jonkrohn/ML-foundations
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?
2D-Gaussian-Splatting - A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!
TradeMaster - TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
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.
wordlescraper - Combine wordle statistics metrics from various locations, data science to correlate scores with words, and a front end to display the results.
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
the-elements-of-statistical-learning - My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
ITC - Computer Science coursework and projects at Tec de Monterrey 👨🎓
MachineLearningWithPython - Get started with Machine Learning with Python - An introduction with Python programming examples
algorithmica - A computer science textbook
nlp-class - A Natural Language Processing course taught by Professor Ghassemi