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Name: Nicholas Halliwell
Type: User
Bio: PhD Student - Inria
Name: Nicholas Halliwell
Type: User
Bio: PhD Student - Inria
Algorithms for monitoring and explaining machine learning models
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
conditional variational autoencoder written in Keras [not actively maintained]
Implementations of some popular Saliency Maps in Keras
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
Keras implementation of Graph Convolutional Networks
Probabilistic reasoning and statistical analysis in TensorFlow
Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AAAI 2018)
Pytorch implementation of convolutional neural network visualization techniques
Keras-based implementation of Relational Graph Convolutional Networks
A unified approach to explain the output of any machine learning model.
SimplE Embedding for Link Prediction in Knowledge Graphs
reformulate the slides
An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow
Code for Tensorflow Machine Learning Cookbook
Interpretability Methods for tf.keras models with Tensorflow 2.0
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.