python-machine-learning-book
Time-series-classification-and-clustering-with-Reservoir-Computing
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python-machine-learning-book | Time-series-classification-and-clustering-with-Reservoir-Computing | |
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2 | 1 | |
12,076 | 314 | |
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0.0 | 6.3 | |
over 1 year ago | 25 days ago | |
Jupyter Notebook | Python | |
MIT License | MIT License |
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python-machine-learning-book
- Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E]
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What is the purpose of meshgrid in Python / NumPy?
I am studying "Python Machine Learning" from Sebastian Raschka, and he is using it for plotting the decision borders. See input 11 here.
Time-series-classification-and-clustering-with-Reservoir-Computing
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Conversion of a dense feedforward neural net to a reservoir computer/ESN in Python/Pytorch
The most helpful, application-wise, seems to be built around this paper. There's an associated github repo, and a lighter intro to it via medium.
What are some alternatives?
artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
tslearn - The machine learning toolkit for time series analysis in Python
Neural-Network-Steganography - Hide some secret 😎 data in a Neural Network - text, malicious software or watermark your NN
ai-seed - 1000+ ready code templates to kickstart your next AI experiment
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
machine_learning_basics - Plain python implementations of basic machine learning algorithms
MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
dtan - Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.
weightless_NN_decompression - Proof of concept for neural network decompression without storing any weights
hdbscan - A high performance implementation of HDBSCAN clustering.