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Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
Official Implement of "ADBench: Anomaly Detection Benchmark".
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Anomaly detection related books, papers, videos, and toolboxes
Applied Deep Learning Course
Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
A curated list of awesome machine learning interpretability resources.
A list of awesome resources on normalizing flows.
Awesome Quadrupedal Robots
Belief Propagation Network for Hard Inductive Semi-Supervised Learning (IJCAI 2019)
Implementation of "CATVI: Conditional and Adaptively Truncated VariationalInference for Hierarchical Bayesian Nonparametric Modelsβ in Python
This project is to develop a machine learning model to predict customer interested for Cross-Selling in Insurance industry but many of the technical aspects are controlled from the business requirements.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project
Time Series Forecasting Best Practices & Examples
Implementation of Graph Convolutional Networks in TensorFlow
Must-read papers on graph neural networks (GNN)
published by Packt
Materials for following along with Hands-On Data Analysis with Pandas β Second Edition
Jupyter Book version of my Habilitation thesis (HDR) entitled "Machine Learning for Time Series"
Hyperbolic Graph Convolutional Networks in PyTorch.
Hyperbolic Embeddings
Hyperbolic Hierarchical Clustering.
Hyperbolic Knowledge Graph embeddings.
Isaac Gym Environments for Legged Robots
llama3 implementation one matrix multiplication at a time
The Numenta Anomaly Benchmark
Scalable and user friendly neural :brain: forecasting algorithms for time series data :wavy_dash:
Normalizing flows in PyTorch
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.