xdeep
by datamllab
AI summary
Interpreter
Provides tools for interpreting deep neural networks
- stars
- 42
- forks
- 8
- watching
- 4
Similar projects
Found by comparing what the projects do, not just their names.
Neural network interpreter
An Explainable AI toolbox that provides various methods and tools to understand and interpret the behavior of neural networks
Code Interpreter
An extension for JupyterLab that interprets natural language code descriptions and executes them in a Python environment.
Model interpreter
Provides tools to understand and interpret the decisions made by XGBoost models in machine learning
Deep learning toolkit
An open-source C library providing tools and components for developing artificial intelligence-based techniques using deep learning.
Language Interpreter
An interpreter of Wolfram Language implemented in Haskell to deepen understanding of the language and its ecosystem
Interpreter
An Elm implementation of a Monkey interpreter
NLP Explanation Library
This is an open source PyTorch library providing tools and models to explain the predictions of deep neural networks for natural language processing tasks.
DL notebooks
Repository providing example notebooks for Deep Learning applications with TensorFlow and Earth Engine.
Model Interpreter
A Python framework for learning to interpret models using information-theoretic methods
Deep Neural Network Library
A header-only C++ library for training and deploying deep neural networks on embedded systems
Model interpreter
Provides tools and techniques for interpreting machine learning models
Data Science course
An introduction to data science using Python and Pandas with Jupyter notebooks
Visualization tool
Generates class visualizations from deep neural networks using Caffe
ethicalml/xai1.1K
Bias analysis tool
An eXplainability toolbox for machine learning that enables data analysis and model evaluation to mitigate biases and improve performance
Text analyzer library
A Python library for text analysis with recurrent neural networks.
