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18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
An index of algorithms for learning causality with data
A data index for learning causality.
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)
A Python package for modular causal inference analysis and model evaluations
CSuite: A Suite of Benchmark Datasets for Causality
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
NeurIPS 2020 Spotlight Paper
ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Lattice methods in TensorFlow
Code for testing various M1 Chip benchmarks with TensorFlow.
Supplementary materials for "Learning LWF Chain Graphs: A Markov Blanket Discovery Approach"
Machine Learning and Artificial Intelligence for Medicine.
Implementation of Monotonic Neural Networks using Point-wise loss for monotonicity
Keras implementation of the constrained monotonic neural networks
Network Analysis in Python
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.