PaCMAP
Data reducer
A dimensionality reduction method that preserves both local and global structure of the data in original space
PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
537 stars
11 watching
54 forks
Language: Jupyter Notebook
last commit: 5 days ago
Linked from 1 awesome list
filipecalegario/awesome-generative-aiRelated projects:
| Repository | Description | Stars |
|---|---|---|
 vyraun/half-size | An algorithm to reduce word embeddings to a specified size while maintaining performance | 128 |
 huanglabpurdue/ncs | An algorithm to reduce noise in images from sCMOS cameras | 29 |
 wildart/manifoldlearning.jl | A package for performing nonlinear dimensionality reduction and manifold learning techniques. | 92 |
 mljs/pca | Tool for reducing dimensionality of data by identifying and preserving the most informative directions. | 97 |
 epierson9/zifa | An algorithm for reducing dimensionality of single-cell gene expression data while handling zero-inflation | 107 |
 xarray-contrib/xeofs | Tools for dimensionality reduction in climate science data analysis | 107 |
 tingxueronghua/chartllama-code | A multimodal LLM for understanding and generating charts in various formats. | 196 |
 zenangst/tailor | An object mapper that simplifies the process of converting data between structured models and unstructured data formats | 242 |
 clementfarabet/manifold | Manages and transforms high-dimensional data into lower-dimensional representations using various algorithms | 141 |
 hashrock/deno-fnparse | A parser combinator for JavaScript to parse CSV files based on RFC4180 standards. | 11 |
 beringresearch/ivis | A dimensionality reduction framework using a Siamese Neural Network to visualize high-dimensional datasets | 331 |
 yuanchao-xu/hyfo | A package for data analysis and visualization in hydrology and climate forecasting, providing tools for processing and visualizing NetCDF files. | 15 |
 ecmwfcode4earth/deepr | Project aimed at downscaling global climate data to higher resolutions using deep learning techniques. | 22 |
 xiaoboxia/cdr | An implementation of a PyTorch-based deep learning method to improve robustness against noisy labels in image classification tasks | 75 |
 zhengwang100/rsdne | A method for creating network embeddings when labeled data is imbalanced | 11 |