Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for jupyter notebook gaussian processes
gaussian-processes
x
jupyter-notebook
x
61 search results found
Neural Tangents
⭐
2,149
Fast and Easy Infinite Neural Networks in Python
Bayesian Machine Learning
⭐
1,587
Notebooks about Bayesian methods for machine learning
Master
⭐
554
A machine learning course using Python, Jupyter Notebooks, and OpenML
Gaussianprocesses.jl
⭐
289
A Julia package for Gaussian Processes
Mango
⭐
289
Parallel Hyperparameter Tuning in Python
Bayesian Optimization
⭐
218
Python code for bayesian optimization using Gaussian processes
Gp4a
⭐
179
Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
Understandingbdl
⭐
174
Notebook
⭐
156
Collection of jupyter notebooks for demonstrating software.
Pysot
⭐
154
Surrogate Optimization Toolbox for Python
Gp_regression
⭐
118
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
Bayesian_benchmarks
⭐
85
A community repository for benchmarking Bayesian methods
Kalman Jax
⭐
77
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
Mnist Challenge
⭐
64
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
Candlegp
⭐
59
Gaussian Processes in Pytorch
Deepcgp
⭐
57
Deep convolutional gaussian processes.
Bayesianml
⭐
55
Experiments in Bayesian Machine Learning
Gpclust
⭐
53
Collapsed Variational Bayes
Gp Cake Project
⭐
50
Bayesian Effective Connectivity
Pytorch Minimal Gaussian Process
⭐
38
A minimal implementation of Gaussian process regression in PyTorch
Flu Sequence Predictor
⭐
34
An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.
Hetmogp
⭐
28
Heterogeneous Multi-output Gaussian Processes
Models
⭐
24
Forecasting 🇫🇷 elections with Bayesian statistics 🥳
Fulu
⭐
22
Fulu is a python library of supernova light curves approximation methods based on machine learning.
Gp_model_zoo
⭐
20
Literature and light wrappers for gaussian process models.
Pyrff
⭐
20
pyrff: Python implementation of random fourier feature approximations for gaussian processes
Ttgp
⭐
19
Python Scientific
⭐
17
Quick guide and tutorial to scientific data python programming
Variationalautoencoders
⭐
17
Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
Pycones 2019 Data
⭐
16
PyConES 2019 conferences, attachments and related stuff
Solvegp
⭐
16
Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)
Ml_course
⭐
15
"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019
Gpsig
⭐
14
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
Boundary Gp
⭐
14
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
Machine Learning Summer Schools
⭐
14
Curated materials for different machine learning related summer schools
K2sc
⭐
14
K2 systematics correction using Gaussian processes
Ordinal_tsf
⭐
13
Gp_tutorial_pydata
⭐
13
PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
Engineer
⭐
12
Machine Learning for Engineers course at TU/e (2IMM15)
Julia Course
⭐
11
Introductory Julia Course
Ssdgp
⭐
11
State-space deep Gaussian processes in Python and Matlab
Gp Clustering
⭐
11
Clustering with Gaussian Process Models
Qfa
⭐
11
Quasar Factor Analysis – An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis
Knownoptimum_bo
⭐
11
Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization
Minibo
⭐
10
Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization
Bayesian_cbf
⭐
10
Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
Gprotation
⭐
9
Measuring stellar rotation periods with Gaussian processes
Ad Kernels
⭐
9
Code for the paper "Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields"
Pddp
⭐
8
WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
Bayesian Methods For Machine Learning
⭐
8
Bayesian Methods for Machine Learning
Precip Prediction
⭐
8
Application of Gaussian Processes to predicting local precipitation in the Upper Indus Basin, Himalayas.
Jupyter_notebooks
⭐
6
This repository contains some jupyter notebooks from my data science projects
Cometgps
⭐
6
Gaussian Processes for Comets and Asteroids
Delight
⭐
6
Photometric redshift via Gaussian processes with physical kernels
Bayesian_smoothing_eyemovement
⭐
6
Repository of my talk for Bayes@Lund 2017
Mlhiphy
⭐
6
Machine Learning for Hidden Physics and Partial Differential Equations
Gptutorial
⭐
5
Gaussian process tutorial materials
Gaussian Process
⭐
5
Numpy implementation of "Gaussian Processes for Machine Learning", Chapters 2.1 and 2.2
Ml Intro
⭐
5
Spavae
⭐
5
Dependency-aware deep generative models for multitasking analysis of spatial genomics data
Machine_learning_glass
⭐
5
Robustgp
⭐
5
Robust Gaussian Process with Iterative Trimming
Interactive Gp
⭐
5
Interactive Gaussian Processes
Related Searches
Python Jupyter Notebook (12,976)
Jupyter Notebook Machine Learning (8,463)
Jupyter Notebook Dataset (6,824)
Jupyter Notebook Deep Learning (6,566)
Jupyter Notebook Tensorflow (4,771)
Jupyter Notebook Data Science (4,256)
Jupyter Notebook Convolutional Neural Networks (4,218)
Jupyter Notebook Classification (3,939)
Jupyter Notebook Neural (3,926)
Jupyter Notebook Pytorch (3,877)
1-61 of 61 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.