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Name: NilsHeil
Type: User
Name: NilsHeil
Type: User
Code for "High-Precision Model-Agnostic Explanations" paper
Jupyter notebooks to reproduce various bLIMEy experiments
Class Activation Mapping visulaization
Classifying medical images with a convolutional neural network
Descriptive mAchine Learning EXplanations
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.
Application of different explaining approaches for Neural Networks
A MNIST-like fashion product database. Benchmark :point_right:
Generative Adversarial Networks implemented in PyTorch and Tensorflow
These are the slides on Interpretable Machine Learning with LIME framework I presented on H20's London meetup on AI and Deep Learning.
first repository
How to do Image Classification using Keras
A toolbox to iNNvestigate neural networks' predictions!
Attributing predictions made by the Inception network using the Integrated Gradients method
An implementation of Grad-CAM with keras
Data and scripts for keras course
Lime: Explaining the predictions of any machine learning classifier
Code for all experiments.
Using LIME (Local Interpretable Model-Agnostic Explanations) for text data
After using data on loan acceptances/rejections to train a neural net to predict likelihood of a loan being granted, local interpretable model-agnostic explanation (LIME) is used to explain the significant factors that lead to the model output.
Tons of fun with text and recurrent neural networks! Let your computer read a book and tell you its own story. 🤣
scikit-learn: machine learning in Python
A unified approach to explain the output of any machine learning model.
Python Library for Model Interpretation/Explanations
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.