prince
deepirtools
prince | deepirtools | |
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1 | 1 | |
1,199 | 17 | |
- | - | |
7.0 | 10.0 | |
about 1 month ago | over 1 year ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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prince
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Categorical data in K-means
Well, my favourite thing about posting on Reddit is learning new things. https://github.com/MaxHalford/prince I looked up the Prince and I'll be reading up about FAMD shotly - thanks!
deepirtools
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[Q] PCA on an all-binary dataset?
Agreed, item response theory (IRT) would be a principled approach to use. I recently released a Python package called DeepIRTools that could be helpful here. It uses a deep learning approach to fit IRT models and provides a method for determining the latent dimensionality (i.e., how many "components" to retain). To get the dimension-reduced data (called embeddings in deep learning, factor scores in IRT, and components in PCA), you would just call model.scores(data).
What are some alternatives?
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
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Dask - Parallel computing with task scheduling
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
faceswap - Deepfakes Software For All
privacyIDEA - :closed_lock_with_key: multi factor authentication system (2FA, MFA, OTP Server)
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
mlcourse.ai - Open Machine Learning Course
Keras - Deep Learning for humans
keras - Deep Learning for humans [Moved to: https://github.com/keras-team/keras]