Tree is a library for working with nested data structures.
Editable interval tree data structure for Python 2 and 3
A pure Python trie data structure implementation.
A Python implementation of tree structure.
Red/black tree with support for fast accumulation of values in a key range
The agile query language for semi-structured data. #JSON
A Python 3 library for sci-kit learn, XGBoost, LightGBM, Spark, and TensorFlow decision tree visualization
Hierarchical tree-like data structures for xarray
Tree-structured dict for easy handling of configurations and results
Building data structures as node trees
Extract content and logical tree structure from textual documents
Utility Package that Displays out the Tree Structure of a Particular Directory.
Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual structure of the document.
A polymorphic mptt structure to display content in a tree.
A flexible, generalized tree-based data structure.
Utitilies for constructing and manipulating models for non-local structural dependencies in genomic sequences
Infering Emergent Dependency Structures In Survey Responses
This is a python library to retrieve the file list with the folder tree from the specific folder of Google Drive.
A library for computing topological data structures
BK-tree data structure to allow fast querying of "close" matches
Layered Config Tree is a configuration structure which supports cascading layers.
Sorted containers with state-of-the-art query performance and compressed memory usage
Visualize POP hub/sub structures
Describe structure directory for pipeline
Analyzing microbiome abundance data to infer deep structures
Tools for creating tree structures from flat list of dicts
managing git projects structured in tree in python
Logging framework that organizes messages in a tree structure
A collection of robust, efficient and small classic algorithms and data structures.
Pull and format statute / codification data (tree structures) from local path to raw yaml files.
Easily traverse your structured folder tree.
Learning and Inference in Bayesian Belief Networks
growingnn is a cutting-edge Python package that introduces a dynamic neural network architecture learning algorithm. This innovative approach allows the neural network to adapt its structure during training, optimizing both weights and architecture. Leveraging a Stochastic Gradient Descent-based optimizer and guided Monte Carlo tree search, the package provides a powerful tool for enhancing model performance.
Generate prompts for long-context LLMs using the content in your directory
Python tree structure for data storage and iterations
Ancestral sequence reconstruction using a tree structured Ornstein Uhlenbeck variational autoencoder
Fast and easy tree structures.
sctreeshap: a cluster tree data structure, and for shap analysis
Sparse voxel N^3-tree data structure using CUDA
Convert a directory structure and its contents into a single text file, including the tree output and file contents in markdown code blocks. It may be useful to chat with LLM about your code.
Organize your code and templates in a natural directory structure
eases the saving and reading of files within a structured folder tree
Django application to the tree structure in the model.
Tree-based Philippine Codifications, Statutes, and Documents, using a uniform node structure (i.e., leaves of a tree) identified by a given material path.