Topic: gaussian-processes Goto Github
Some thing interesting about gaussian-processes
Some thing interesting about gaussian-processes
gaussian-processes,Bayes-NewtonβA Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
Organization: aaltoml
gaussian-processes,Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Organization: acerbilab
gaussian-processes,Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
User: alshedivat
gaussian-processes,Parallel Hyperparameter Tuning in Python
Organization: arm-software
gaussian-processes,A Python implementation of global optimization with gaussian processes.
Organization: bayesian-optimization
Home Page: https://bayesian-optimization.github.io/BayesianOptimization/index.html
gaussian-processes,Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Organization: bayeswatch
Home Page: https://arxiv.org/abs/1910.05199
gaussian-processes,Safe reinforcement learning with stability guarantees
User: befelix
gaussian-processes,Safe Bayesian Optimization
User: befelix
gaussian-processes,A highly efficient implementation of Gaussian Processes in PyTorch
Organization: cornellius-gp
gaussian-processes,Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Organization: d2l-ai
Home Page: https://D2L.ai
gaussian-processes,Machine learning, in numpy
User: ddbourgin
Home Page: https://numpy-ml.readthedocs.io/
gaussian-processes,Scalable 1D Gaussian Processes in C++, Python, and Julia
User: dfm
Home Page: http://celerite.rtfd.io
gaussian-processes,Fast and flexible Gaussian Process regression in Python
User: dfm
Home Page: http://george.readthedocs.io
gaussian-processes,Surrogate Optimization Toolbox for Python
User: dme65
gaussian-processes,Fast & scalable MCMC for all your exoplanet needs!
Organization: exoplanet-dev
Home Page: https://docs.exoplanet.codes
gaussian-processes,Combining tree-boosting with Gaussian process and mixed effects models
User: fabsig
gaussian-processes,A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction
User: gabrieltseng
gaussian-processes,Python3 project applying Gaussian process regression for forecasting stock trends
User: gdroguski
gaussian-processes,Kriging Toolkit for Python
Organization: geostat-framework
Home Page: https://pykrige.readthedocs.io
gaussian-processes,Fast and Easy Infinite Neural Networks in Python
Organization: google
Home Page: https://iclr.cc/virtual_2020/poster_SklD9yrFPS.html
gaussian-processes,Gaussian processes in TensorFlow
Organization: gpflow
gaussian-processes,GPstuff - Gaussian process models for Bayesian analysis
Organization: gpstuff-dev
Home Page: http://research.cs.aalto.fi/pml/software/gpstuff/
gaussian-processes,A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
Organization: gradientinstitute
gaussian-processes,Gaussian Process Motion Planner 2
Organization: gtrll
gaussian-processes,Sparse Gaussian Processes for SLAM
Organization: gtrll
gaussian-processes,HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
Organization: hilo-mpc
Home Page: https://www.ccps.tu-darmstadt.de/research_ccps/hilo_mpc/
gaussian-processes,I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
User: hoangcuong2011
gaussian-processes,Gaussian processes in JAX.
Organization: jaxgaussianprocesses
Home Page: https://docs.jaxgaussianprocesses.com/
gaussian-processes,π© An easy and fast library to apply gaussian blur filter on any images.
User: jrvansuita
gaussian-processes,Abstract types and methods for Gaussian Processes.
Organization: juliagaussianprocesses
Home Page: https://juliagaussianprocesses.github.io/AbstractGPs.jl/dev
gaussian-processes,Julia package for kernel functions for machine learning
Organization: juliagaussianprocesses
Home Page: https://juliagaussianprocesses.github.io/KernelFunctions.jl/stable/
gaussian-processes,Probabilistic Programming with Gaussian processes in Julia
Organization: juliagaussianprocesses
gaussian-processes,Neural Architecture Search with Bayesian Optimisation and Optimal Transport
User: kirthevasank
gaussian-processes,Notebooks about Bayesian methods for machine learning
User: krasserm
gaussian-processes,Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
User: m-clark
gaussian-processes,A simple, extensible library for developing AutoML systems
Organization: mlbazaar
Home Page: https://mlbazaar.github.io/BTB/
gaussian-processes,Bayesian Reinforcement Learning in Tensorflow
User: nrontsis
gaussian-processes,Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
User: ohirose
Home Page: https://ieeexplore.ieee.org/document/9918058
gaussian-processes,A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
Organization: resibots
Home Page: http://www.resibots.eu/limbo
gaussian-processes,This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
User: robi56
gaussian-processes,Learning-aided 3D mapping
Organization: robustfieldautonomylab
gaussian-processes,Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
User: simonrennotte
gaussian-processes,Interactive visualization of Gaussian processes
User: st--
gaussian-processes,This is a Project Page of 'Towards a complete 3D morphable model of the human head'
User: steliosploumpis
Home Page: https://arxiv.org/abs/1911.08008
gaussian-processes,Scala Library/REPL for Machine Learning Research
Organization: tailhq
Home Page: http://tailhq.github.io/DynaML/
gaussian-processes,Gaussian Process package based on data augmentation, sparsity and natural gradients
User: theogf
Home Page: https://theogf.github.io/AugmentedGaussianProcesses.jl/dev/
gaussian-processes,Python code for bayesian optimization using Gaussian processes
User: thuijskens
gaussian-processes,Gaussian process modelling in Python
User: wesselb
gaussian-processes,A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
User: wujian16
gaussian-processes,Gaussian Processes for Experimental Sciences
User: ziatdinovmax
Home Page: http://gpax.rtfd.io
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