pyprobml VS machine-learning-experiments

Compare pyprobml vs machine-learning-experiments and see what are their differences.

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy (by probml)
jupyter-notebooks Machine Learning Colab pml probabilistic-programming Jax Tensorflow Pytorch pymc3 numpyro flax pyro blackjax
Source Code
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machine-learning-experiments

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo (by trekhleb)
Machine Learning JavaScript Python Tensorflow jupyter-notebooks colab-notebook Colab AI Artificial intelligence Keras Numpy
Source Code
trekhleb.dev
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pyprobml machine-learning-experiments
3 8
6,257 1,602
1.7% -
6.2 2.6
4 months ago 4 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pyprobml

Posts with mentions or reviews of pyprobml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-09.

machine-learning-experiments

Posts with mentions or reviews of machine-learning-experiments. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pyprobml and machine-learning-experiments you can also consider the following projects:

numpyro - Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Torrent-To-Google-Drive-Downloader-v3 - Simple notebook to stream torrent files to Google Drive using Google Colab and python3.

prml - Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

osumapper - An automatic beatmap generator using Tensorflow / Deep Learning.

jaxopt - Hardware accelerated, batchable and differentiable optimizers in JAX.

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

lucid - A collection of infrastructure and tools for research in neural network interpretability.

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

PRML - PRML algorithms implemented in Python

lightwood - Lightwood is Legos for Machine Learning.

Hands-On-Meta-Learning-With-Python - Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

pyprobml vs numpyro machine-learning-experiments vs Torrent-To-Google-Drive-Downloader-v3 pyprobml vs prml machine-learning-experiments vs osumapper pyprobml vs jaxopt machine-learning-experiments vs lama pyprobml vs lucid machine-learning-experiments vs PConv-Keras pyprobml vs PRML machine-learning-experiments vs lucid pyprobml vs lightwood machine-learning-experiments vs Hands-On-Meta-Learning-With-Python