tensor-sensor
uvadlc_notebooks
| tensor-sensor | uvadlc_notebooks | |
|---|---|---|
| 1 | 2 | |
| 745 | 2,151 | |
| - | - | |
| 1.8 | 6.6 | |
| about 2 years ago | 13 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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tensor-sensor
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[Discussion] Should there be a new IDE built from the ground up for ML Engineers/Practioners?
Have you seen Terence Parr's TensorSensor
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?
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.
hyper-nn - Easy Hypernetworks in Pytorch and Jax
ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
graphsignal-python - Graphsignal Tracer for Python
etils - Collection of eclectic utils for python.
TF_JAX_tutorials - All about the fundamental blocks of TF and JAX!
dynamax - State Space Models library in 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 📱