innvestigate
Analysis toolkit
A toolbox to help understand neural networks' predictions by providing different analysis methods and a common interface.
A toolbox to iNNvestigate neural networks' predictions!
1k stars
34 watching
234 forks
Language: Python
last commit: almost 3 years agoLinked from 2 awesome lists
ethicalml/awesome-production-machine-learning
jphall663/awesome-machine-learning-interpretabilityRelated projects:
| Repository | Description | Stars |
|---|---|---|
 fgxaos/pytorch-innvestigate | PyTorch implementation of an explainability technique for deep neural networks | 9 |
 abitdodgy/gibran | A natural language processing toolkit with tokenization and Levenshtein distance functionality | 65 |
 numaproj/numalogic | A collection of machine learning models and tools for real-time time series data analytics and anomaly detection | 168 |
 basilesimon/datajournalists-toolbox | A collection of curated tools and resources for datajournalists to analyze and visualize their data | 43 |
 bayesnet/bnt | Provides a set of tools and algorithms for Bayesian networks in MATLAB | 470 |
 ledger-donjon/lascar | A Python library designed to facilitate side-channel analysis by providing classes and functions to simplify the process. | 377 |
 olivierlar/miningsuite | A comprehensive framework for signal, audio and music analysis in Matlab | 54 |
 nmtimme/neuroscience-information-theory-toolbox | A MATLAB toolbox for performing various information theory analyses on neuroscience data. | 70 |
 coralnet/coralnet | A website and toolset for image analysis and machine learning, providing resources and documentation. | 57 |
 pdaian/mev | A toolset for modeling and analyzing the extractable value of mining operations using Python. | 125 |
 vocalpy/vak | A Python framework for training and applying neural networks to acoustic communication research | 78 |
 canlab/canlabcore | A collection of core tools and functionalities for neuroimaging analysis in MATLAB. | 149 |
 arviz-devs/arviz | A Python package for exploring and analyzing Bayesian models in data science | 1,620 |
 abhik/pebl | A Python library and command line application for learning Bayesian network structures from observational data. | 104 |
 jd-aig/nlp_baai | A collection of natural language processing models and tools for collaboration on a joint project between BAAI and JDAI. | 254 |