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Official repository for Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps
Some adaptive filter variations
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
An index of algorithms for learning causality with data
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Awesome resources on normalizing flows.
This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis]
A collection of Bayesian data analysis recipes using PyMC3
Notebooks about Bayesian methods for machine learning
PyTorch implementation of bayesian neural network.
How to do Bayesian statistical modelling using numpy and PyMC3
Machine Learning models using a Bayesian approach and often PyMC3
Code for a tutorial on Bayesian Statistics by Allen Downey.
Birch implementation of the ecological model (Saether et al. 2000)
Companion repository to blog post investigating spectral mixture kernels.
Berlin Time Series Analysis Repository
Gaussian Processes in Pytorch
Must-read papers and resources related to causal inference and machine (deep) learning
Causal Effect Inference with Deep Latent-Variable Models
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Explored the Long-Term Soil Moisture Predictability with FLUXNET Site Data using Circulating Learning Model
State space model + data pipeline to generate counterfactual time series trajectories on multiple clinical signals, used to evaluate the utility of counterfactual features in sepsis prediction
Course material for 1RT700 Statistical Machine Learning
Pytorch implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction https://arxiv.org/pdf/1704.02971.pdf
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.