gaussian-processes

There are 24 repositories under gaussian-processes topic.

d2l-ai / d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
deep-learning machine-learning book notebook computer-vision natural-language-processing python kaggle data-science mxnet pytorch tensorflow keras gaussian-processes hyperparameter-optimization recommender-system reinforcement-learning jax
Language:Python 21894
ddbourgin / numpy-ml
Machine learning, in numpy
machine-learning neural-networks topic-modeling gaussian-mixture-models hidden-markov-models gradient-boosting bayesian-inference wavenet vae resnet lstm wgan-gp attention reinforcement-learning good-turing-smoothing knn mfcc gaussian-processes word2vec
Language:Python 14574
bayesian-optimization / BayesianOptimization
A Python implementation of global optimization with gaussian processes.
bayesian-optimization gaussian-processes optimization python simple
Language:Python 7536
cornellius-gp / gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
pytorch gaussian-processes gpu-acceleration
Language:Python 3425
google / neural-tangents
Fast and Easy Infinite Neural Networks in Python
bayesian-inference bayesian-networks deep-networks gaussian-processes gradient-descent gradient-flow infinite-networks jax kernel kernel-computation neural-networks neural-tangents training-dynamics
Language:Jupyter Notebook 2232
GPflow / GPflow
Gaussian processes in TensorFlow
bayesian-statistics deep-learning gaussian-processes gp gpflow machine-learning markov-chain-monte-carlo ml stochastic-processes tensorflow variational-inference
Language:Python 1801
krasserm / bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
machine-learning bayesian-methods bayesian-machine-learning gaussian-processes bayesian-optimization variational-autoencoder
Language:Jupyter Notebook 1753
PyKrige
GeoStat-Framework / PyKrige
Kriging Toolkit for Python
gaussian-processes geostatistics interpolation kriging spatial-analysis spatial-statistics
Language:Python 725
fabsig / GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
boosting gaussian-processes mixed-effects machine-learning data-science artificial-intelligence cpp python r
Language:C++ 514
jrvansuita / GaussianBlur
🎩 An easy and fast library to apply gaussian blur filter on any images.
gaussianblur gaussian-processes gaussian gaussian-filter filter image-processing image android canvas renderscript bitmap drawable filters image-compression blur blur-backgrounds blurry
Language:Java 501
dfm / george
Fast and flexible Gaussian Process regression in Python
python gaussian-processes time-series cpp c-plus-plus
Language:C++ 443
GPJax
JaxGaussianProcesses / GPJax
Gaussian processes in JAX.
gaussian-processes jax probabilistic-programming bayesian-inference machine-learning
Language:Python 389
JuliaGaussianProcesses / Stheno.jl
Probabilistic Programming with Gaussian processes in Julia
approximate-inference bayesian-inference gaussian-processes machine-learning probabilistic-programming
Language:Julia 335
ARM-software / mango
Parallel Hyperparameter Tuning in Python
hyperparameter-optimization blackbox-optimization hyperparameter-tuning parallel-computing machine-learning tuning-parameters sklearn-compatible scipy-compatible tensorflow-examples keras-examples pytorch-compatible bayesian-optimization gaussian-processes kubernetes-deployment cluster-deployment production-system neural-network neural-networks
Language:Jupyter Notebook 313
nrontsis / PILCO
Bayesian Reinforcement Learning in Tensorflow
reinforcement-learning model-based-rl gaussian-processes tensorflow machine-learning
Language:Python 310
thuijskens / bayesian-optimization
Python code for bayesian optimization using Gaussian processes
gaussian-processes hyperparameter-optimization optimization
Language:Jupyter Notebook 302
gtrll / gpmp2
Gaussian Process Motion Planner 2
motion-planning trajectory-optimization gaussian-processes inference robotics
Language:C++ 299
ohirose / bcpd
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
shape-analysis non-rigid-registration variational-inference shape-deformation point-cloud-registration shape-matching point-set-registration downsampling gaussian-processes bayesian-inference outlier-detection coherent-point-drift
Language:C 282
hoangcuong2011 / Good-Papers
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
deep-learning machine-learning natural-language-processing computer-vision gaussian-processes variational-autoencoders neural-machine-translation neural-network convolutional-networks semi-supervised-learning variational-inference kernel-learning representation-learning deep-kernel-learning
280
JuliaGaussianProcesses / KernelFunctions.jl
Julia package for kernel functions for machine learning
kernel-functions kernels machine-learning gaussian-processes
Language:Julia 263
wujian16 / Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
bayesian bayesian-optimization machine-learning gaussian-processes hyperparameter-optimization optimization
Language:C++ 255
alshedivat / keras-gp
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
keras theano tensorflow gaussian-processes neural-networks machine-learning
Language:Python 244
resibots / limbo
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
bayesian-optimization gaussian-processes optimization-framework optimization-library
Language:C++ 229
steliosploumpis / Universal_Head_3DMM
This is a Project Page of 'Towards a complete 3D morphable model of the human head'
3dmm head universal morphable pca uhm regression registration gaussian-processes universal-head-model complete-head-model eye-model ear-model head-shapes ear-shape face eye
227
befelix / safe_learning
Safe reinforcement learning with stability guarantees
reinforcement-learning dynamic-programming gaussian-processes safety stability
Language:Python 214
AaltoML / BayesNewton
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
approximate-bayesian-inference gaussian-processes jax machine-learning markov-gps signal-processing sparse-gps state-space-models
Language:Python 212
acerbilab / vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
bayesian-inference variational-inference gaussian-processes data-analysis machine-learning matlab
Language:MATLAB 211
wesselb / stheno
Gaussian process modelling in Python
machine-learning gaussian-processes python
Language:Python 209
JuliaGaussianProcesses / AbstractGPs.jl
Abstract types and methods for Gaussian Processes.
gaussian-processes gps julia probabilistic-programming
Language:Julia 208
robi56 / Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
survival-analysis gaussian-processes deep-learning bayesian-inference healthcare cancer-research machine-learning time-series time-to-event
207
dme65 / pySOT
Surrogate Optimization Toolbox for Python
optimization asynchronous global-optimization global-optimization-algorithms bayesian-optimization surrogate-based-optimization surrogate-models radial-basis-function gaussian-processes black-box-optimization
Language:Jupyter Notebook 202
exoplanet-dev / exoplanet
Fast & scalable MCMC for all your exoplanet needs!
exoplanet exoplanet-transits exoplanet-radial-velocities mcmc gaussian-processes bayesian-inference pymc3 time-series time-series-analysis astronomy astrophysics exoplanets
Language:Python 201
tailhq / DynaML
Scala Library/REPL for Machine Learning Research
machine-learning scala regression repl committee-models classification gaussian-processes scala-library machine-learning-api machine-learning-algorithms kernel-methods tensorflow
Language:Scala 198
BayesWatch / deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
gaussian-processes few-shot-learning bayesian-methods deep-learning deep-kernel-learning one-shot-learning kernel-methods classification regression gpytorch kernel shot-learning uncertainty-quantification uncertainty paper meta-learning kernels
Language:Python 192
Miscellaneous-R-Code
m-clark / Miscellaneous-R-Code
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**.
r stan jags matlab julia python bayesian mixed-models gaussian-processes factor-analysis pca em survival-analysis ordinal-regression probit irt mixture-model zip additive-models machine-learning
Language:R 189
gpax
ziatdinovmax / gpax
Gaussian Processes for Experimental Sciences
active-learning bayesian-inference bayesian-neural-networks bayesian-optimization deep-kernel-learning gaussian-processes hypothesis-learning machine-learning multi-fidelity-learning
Language:Python 185