hyper-nn
uvadlc_notebooks
| hyper-nn | uvadlc_notebooks | |
|---|---|---|
| 1 | 2 | |
| 91 | 2,151 | |
| - | - | |
| 0.0 | 6.6 | |
| over 1 year ago | 11 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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hyper-nn
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[P] hyper-nn: Easy Hypernetworks in Pytorch and Jax
I’d like to share a project that I’ve been working on called hyper-nn, which gives users the ability to create easily customizable Hypernetworks for almost any torch.nn.Module and flax.linen.Module.
uvadlc_notebooks
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I miss the old days where people asked me to recreate “Facebook” or “Twitter”
So, I don’t have anything simple that’s readily available, and I don’t know how much you’d get from the code itself without some background. But I would recommend the UVA Deep Learning tutorials. Particularly, I’d recommend trying the autoencoder as a good start (tutorial 9). Autoencoders are very easy and fast models to train.
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[D] Favorite Colab Notebooks / runnable tutorials on adversarial CV
DL course from the University of Amsterdam:Github and Colab including another FGSM example
What are some alternatives?
neural-tangents - Fast and Easy Infinite Neural Networks in Python
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pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
TF_JAX_tutorials - All about the fundamental blocks of TF and JAX!
jaxrl - JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱