diffusion_models
Minimal standalone example of diffusion model (by InFoCusp)
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition. (by stefan-jansen)
diffusion_models | machine-learning-for-trading | |
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4 | 224 | |
152 | 11,881 | |
0.0% | - | |
0.0 | 1.1 | |
almost 2 years ago | 11 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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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.
diffusion_models
Posts with mentions or reviews of diffusion_models.
We have used some of these posts to build our list of alternatives
and similar projects.
- [Variational and Diffusion Methods] Minimal standalone example of diffusion model
- A minimal standalone example of diffusion model
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(unguided) Sampling from a diffusion model
I'm trying to figure out a way to reproduce the sampling method used in the DDPM model arxiv link. The codebase link is roughly here for the original model and for improved DDPMs here. There is also implementations recently posted to r/MachineLearning such as this one (check the reverse process section) and finally this last one.
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[P] Hands on diffusion models
A minimal example of the forward and reverse flow of diffusion models with equations from the paper and visualizations alongside the code: https://github.com/InFoCusp/diffusion_models I coded it up since I wanted to familiarize myself with rhe end to end flow. It uses a simple 2d dataset that can train within minutes. Hope others on this subreddit find it useful.
machine-learning-for-trading
Posts with mentions or reviews of machine-learning-for-trading.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-25.
- Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0
- How to backtest common strategy / filters in bulk?
- Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10565.0