Alternatives and similar repositories for Voronoi-diagram

Users that are interested in Voronoi-diagram are comparing it to the libraries listed below

• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 3 years ago
• bumatic / PyCatFlow
  A Python Package for Visualizing Categorical Data Over Time
  ☆41Updated last year
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆49Updated 2 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• IDA-HumanCapital / fife
  Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
  ☆22Updated last year
• Brett-Kennedy / ikNN
  An interpretable kNN based on aggregating the predictions of multiple 2d spaces.
  ☆13Updated 9 months ago
• tirthajyoti / Symbolic-computation-Python
  Symbolic computation using SymPy and various applications
  ☆21Updated 7 years ago
• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆18Updated last year
• ag-ds-bubble / tseuler
  A library for Time-Series exploration, analysis & modelling.
  ☆17Updated 4 years ago
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆23Updated 8 months ago
• vaexio / vaex-talks
  Talks about vaex
  ☆36Updated 2 years ago
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆16Updated last year
• meadowdata / meadowflow
  Meadowflow is a proof-of-concept/prototype job scheduler built to explore the idea of implicit data dependency management.
  ☆10Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 2 years ago
• FlorianWilhelm / polars_vs_pandas
  Comparing Polars to Pandas and a small introduction
  ☆44Updated 4 years ago
• tirthajyoti / Synthetic-data-gen
  Various methods for generating synthetic data for data science and ML
  ☆80Updated 3 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated 5 years ago
• L-Lewis / Predicting-traffic-accidents-CNN
  ☆37Updated 4 years ago
• Brett-Kennedy / CountsOutlierDetector
  Interpretable, intuitive outlier detector intended for categorical and numeric data.
  ☆10Updated last year
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆66Updated 3 years ago
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 5 years ago
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated last year
• dhaitz / matplotlib-style-configurator
  Matplotlib style configurator, built with Streamlit
  ☆29Updated 5 years ago
• samirsaci / graph-theory
  Graph theory to optimize the road transportation network of a retail company
  ☆20Updated 6 months ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated last year
• jseabold / pandas-selectable
  A `select` accessor for easier subsetting of pandas DataFrames and Series
  ☆34Updated 2 years ago
• poloclub / visual-auditor
  Interactive scalable auditing of model biases and vulnerabilities with interpretable mitigation
  ☆25Updated 3 years ago
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated 2 years ago