- uvadlc_notebooks VS jaxrl
- uvadlc_notebooks VS tensor-sensor
- uvadlc_notebooks VS walkalongs
- uvadlc_notebooks VS TF_JAX_tutorials
- uvadlc_notebooks VS get-started-with-JAX
- uvadlc_notebooks VS fromthetensor
- uvadlc_notebooks VS forwardalgorithms
- uvadlc_notebooks VS hyper-nn
- uvadlc_notebooks VS pyprobml
- uvadlc_notebooks VS labml
Uvadlc_notebooks Alternatives
Similar projects and alternatives to uvadlc_notebooks
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jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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tensor-sensor
The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
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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.
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uvadlc_notebooks discussion
uvadlc_notebooks reviews and mentions
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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
Stats
phlippe/uvadlc_notebooks is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of uvadlc_notebooks is Jupyter Notebook.