stable-diffusion-dreambooth-colab
pyprobml
| stable-diffusion-dreambooth-colab | pyprobml | |
|---|---|---|
| 1 | 3 | |
| 31 | 6,282 | |
| - | 1.2% | |
| 3.6 | 6.2 | |
| 5 months ago | 5 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| The Unlicense | MIT License |
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stable-diffusion-dreambooth-colab
pyprobml
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Best Possible Book Recommended for Machine Learning [Discussion] [D] [Recommendation]
Another great book is Kevin Murphy’s Machine Learning: A probabilistic approach. He just launched the second version of his book and he has a Python repo for the models and graphs: https://github.com/probml/pyprobml
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Probabilistic Machine Learning, Kevin Murphy (2nd edition, 2021)
This exists actually, it's not complete yet (I think?) but it covers a lot of the material in the book:
https://github.com/probml/pyprobml
What are some alternatives?
Real-ESRGAN-Video-Batch-Process - Upscale any number of videos using this colab notebook!
numpyro - Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
prml - Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
stable-diffusion-webui-colab - stable diffusion webui colab
jaxopt - Hardware accelerated, batchable and differentiable optimizers in JAX.
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
lucid - A collection of infrastructure and tools for research in neural network interpretability.
PRML - PRML algorithms implemented in Python
lightwood - Lightwood is Legos for Machine Learning.
KoboldAI-Runpod - This is just a simple set of notebooks to load koboldAI and SillyTavern Extras on a runpod with Pytorch 2.0.1 Template
score_sde - Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)