Plot categorical heatmaps with seaborn
-
Updated
Aug 30, 2022 - Python
#
categorical
Here are 21 public repositories matching this topic...
Perform a chi-square independence test.
nodejs javascript node statistics math test table stdlib independence mathematics stats summary node-js discrete hypothesis 2d contingency categorical
-
Updated
May 19, 2026 - JavaScript
Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder
tensorflow keras mnist generative-model toronto variational-inference variational-autoencoder gumbel-softmax categorical tensorflow-eager tensorflow-probability krist-papadopoulos categorical-variational-autoencoder
-
Updated
Sep 25, 2018 - Python
A python package for plotting Evidence Gap Maps using Plotly
-
Updated
Apr 16, 2020 - Python
A simple preprocessing method for Machine Learning
-
Updated
Apr 23, 2025 - Python
Quasi-determinism screening for fast Bayesian Network Structure Learning (from T.Rahier's PhD thesis, 2018)
correlation feature-selection bayesian-network screening quasi structure-learning categorical determinism functional-dependency
-
Updated
May 24, 2023 - Python
Associated to SAMO paper
-
Updated
Oct 9, 2019 - Python
WF16 federation gateway for mo:os kernels — URN-prefix shard routing. Go, stdlib-first.
-
Updated
May 28, 2026 - Go
Categorical hypergraph rewriting kernel — semantic functorial network over distributed compute. Go, stdlib-first.
golang distributed-systems mcp event-sourcing knowledge-graph hypergraph semantic-network categorical
-
Updated
May 26, 2026 - Go
Extensions and additions to vcd: Visualizing Categorical Data
-
Updated
Jun 4, 2018 - R
Visualize gender-based employment status and recruitment sources using stacked bar plots in Python.
python data analysis pandas matplotlib datavisualization categorical employmentpatterns genderdiversity recruitmentanalysis
-
Updated
Oct 1, 2023 - Jupyter Notebook
This repository contains small MATLAB scripts that I’ve used, tested, and even tweaked for spatial analysis. These scripts cover everything from categorical statistics to statistical trends for each pixel. Feel free to download them and use them on your local machine. I’d love to hear how you like them!
-
Updated
Sep 12, 2025 - MATLAB
ML project template created while following the Abhishek Thakur's youtube video
-
Updated
Jul 23, 2020 - Python
Data on Youtube trending videos , cleaning and EDA
visualization plots analysis numpy heatmap eda pandas seaborn null boxplot outlier barplot categorical lineplot countplots matlpotlib
-
Updated
Jan 13, 2023 - Jupyter Notebook
Jupyter notebooks on custom loss functions in TensorFlow/Keras: modified MSE penalizing overconfidence and Categorical Focal Loss with L1/L2 regularization for imbalanced multi-class tasks (e.g., cats_vs_dogs). Includes model building, preprocessing, GPU checks, and focuses on learning mechanics over metrics.
python benchmark deep-learning custom interactive tensorflow numpy keras cnn classification regularization adam cross-entropy loss focal categorical custom-logs tensorflowkeras low-level-api-tensorflow
-
Updated
Aug 17, 2025 - Jupyter Notebook
Fun Project -: Playing with the statistics. Main Motto -: Trying to understand the statistics underneath the various most commonly used Machine Learning Models. I have used two library i.e. Stats-Model and Scikit-Learn.
clustering linear-regression jupyter-notebook ols-regression categorical-data categorical stat-mode-module clust
-
Updated
Apr 25, 2020 - Jupyter Notebook
EDA / Data Visualization of Hotstar Shows
-
Updated
Feb 14, 2023 - Jupyter Notebook
Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
-
Updated
Aug 30, 2019 - TeX
Titanic Survival Prediction Using Decision Tree. This project uses a Decision Tree Classifier to predict Titanic passenger survival based on the Kaggle dataset. It covers data preprocessing, feature engineering, and model training with Scikit-learn.
machine-learning scikit-learn python3 kaggle-competition supervised-learning predictive-modeling decision-tree decision-tree-classifier binary-classification data-science-competition categorical-variables numpy-library pandas-library categorical data-science-projects titanic-dataset-predictions model-training-and-evaluation model-training-and-tuning model-training-and-optimization
-
Updated
May 4, 2025 - Jupyter Notebook
Implementation of the Entity Embedding Encoder
-
Updated
Nov 18, 2020 - Python
Improve this page
Add a description, image, and links to the categorical topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the categorical topic, visit your repo's landing page and select "manage topics."