pymc-devs / pymc-devs/pytensor-ml
Create an example gallery
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- Dominant language
- Python
- Stars
- 9
- Forks
- 7
- Avg merge
- 6h 55m
- Merged PRs (30d)
- 40
Description
I'd like to make an example gallery to show how to implement some popular deep learning models in pytensor-ml, once the necessary building blocks exist, including:
- A causal transformer language model using a next-token prediction objective
- An LSTM/GNU for predicting stonk prices
- Bayesian Neural Network with PyMC Integration
- VAE for image generation
- GAN for image generation
- Diffusion model for image generation
- Deep Q Learning to play some atari games (pong or w/e)
- Actor-Critic to play a continuous action-space game (lunar lander for instance)
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are named. Start by reviewing the repository's existing building blocks and examples, then clarify which model should be implemented first and what the gallery should contain. Done means the selected examples are implemented and documented, with a defined way to run or verify them.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100