mmortazavi / UMAP_Nonlinear-Dimensionality-Reduction_BenchmarkLinks
A primer to Uniform Manifold Approximation and Projection (UMAP)
☆15Updated 7 years ago
Alternatives and similar repositories for UMAP_Nonlinear-Dimensionality-Reduction_Benchmark
Users that are interested in UMAP_Nonlinear-Dimensionality-Reduction_Benchmark are comparing it to the libraries listed below
Sorting:
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 4 years ago
- Data visualization workshop☆11Updated 5 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- Multiple imputation utilising denoising autoencoder for approximate Bayesian inference☆122Updated 5 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Keras framework for autocovariance-based dimensionality reduction of time series data with deep neural networks.☆32Updated 7 years ago
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆26Updated 5 years ago
- python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.☆127Updated 5 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- The 2020 Version of the Deep Learning Course☆8Updated 5 years ago
- Seminar on Limitations of Interpretable Machine Learning Methods☆57Updated 4 years ago
- Talks from Neil Lawrence☆54Updated last year
- Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…☆13Updated 5 years ago
- This is the repo for a python package that does model comparison between different regression models.☆22Updated 7 years ago
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 3 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- Performs nested cross-validation for scikit-learn classes using MPI for parallel computing.☆42Updated 10 years ago
- A repository for public storage of slides given at the 17th Python in Science Conferences (2018)☆134Updated 6 years ago
- Compute set of important operations for HCTSA code☆26Updated 5 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- A Keras-compatible generator for creating balanced batches☆16Updated last year
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 5 years ago
- Techniques to cluster very noisy data (dropouts or random noise)☆66Updated 6 years ago
- Explaining dimensionality results using SHAP values☆54Updated 6 months ago
- Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters☆41Updated 5 years ago
- Interactive visualization of machine learning model evaluation metrics☆63Updated 5 years ago
- A simple, rectangular self-organizing map with methods similar to clustering methods in Scikit Learn.☆79Updated 2 years ago
- 100 Days of Experimenting with TensorFlow Probability☆39Updated 5 years ago