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Algorithms for outlier and adversarial instance detection, concept drift and metrics.
A curated list of awesome machine learning interpretability resources.
Notebooks related to Bayesian methods for machine learning
Repository with code and slides for a tutorial on causal inference.
Causal Inference in Python
Uplift modeling and causal inference with machine learning algorithms
Counterfactual Regression
Classification models trained on ImageNet. Keras.
Automatic and optimised consensus clustering of one or more heterogeneous datasets
A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a consensus clustering is reformulated in terms of approximation algorithms for graph or hyper-graph partitioning.
Python implementations of contextual bandits algorithms
CS231N 2017 video subtitles translation project for Korean Computer Science students
Deep Learning Papers on Medical Image Analysis
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling.
Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe
Tensorflow's Fairness Evaluation and Visualization Toolkit
Train and visualize Hierarchical Attention Networks
Introduction to Statistical Learning with R์ Python์ผ๋ก
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
Python implementations of partial dependence plots and permutation importance
Natural Language Processing Tutorial for Deep Learning Researchers
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.