cookiecutter-pytorch
lightning-bolts
| cookiecutter-pytorch | lightning-bolts | |
|---|---|---|
| 1 | 3 | |
| 56 | 1,644 | |
| - | 1.2% | |
| 1.8 | 7.5 | |
| over 3 years ago | 26 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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cookiecutter-pytorch
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[D] How to organize deep learning projects on Github ?
I use this cookie cutter https://github.com/khornlund/cookiecutter-pytorch
lightning-bolts
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Question about implementing RL algorithms
In the lightning-bolts repository, they implement the different RL algorithms, such as PPO and DQN, as different models. Would it make more sense to have the different algorithms be the Trainer instead? Inside each of the implementations, the model creates the same neural network with different training steps.
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[P] An elegant and strong PyTorch Trainer
This is also how lightning bolts tend to be defined: for example, you have https://github.com/Lightning-AI/lightning-bolts/blob/master/pl_bolts/models/rl/advantage_actor_critic_model.py for A3C, which itself is only the loss and training wrapper around the normal modules for critic and actor (see https://github.com/Lightning-AI/lightning-bolts/blob/52e4c503c671f4866339c1537cf6ae506e7c5cf5/pl_bolts/models/rl/common/networks.py#L147=)
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[D] How to organize deep learning projects on Github ?
Also PyTorch Lighting gives example in this repo https://github.com/PyTorchLightning/pytorch-lightning-bolts
What are some alternatives?
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transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
ds-template - Template for professional data science and python applications made by deepsense.ai
PanelCleaner - An AI-powered tool to clean manga panels.