Newt - a Gaussian process library in JAX.

Last update: Nov 02, 2021

Overview

Newt

Newt is a Gaussian process library built in JAX (with objax).

Newt currently provides the following models:

GPs
Sparse GPs
Markov GPs
Sparse Markov GPs

with the following inference methods:

Variational inference (with natural gradients)
Power expectation propagation
Laplace
Posterior linearisation (i.e. classical nonlinear Kalman smoothers)
Taylor (i.e. analytical linearisation / extended Kalman smoother)

Installation

In the top directory (Newt), run

pip install -e .

License

This software is provided under the Apache License 2.0. See the accompanying LICENSE file for details.

JAX-based neural network library

2.3k Jan 4, 2023

Scenic: A Jax Library for Computer Vision and Beyond

Scenic Scenic is a codebase with a focus on research around attention-based models for computer vision. Scenic has been successfully used to develop c

1.6k Dec 27, 2022

A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.

Rockpool Rockpool is a Python package for developing signal processing applications with spiking neural networks. Rockpool allows you to build network

21 Dec 14, 2022

JAXDL: JAX (Flax) Deep Learning Library

JAXDL: JAX (Flax) Deep Learning Library Simple and clean JAX/Flax deep learning algorithm implementations: Soft-Actor-Critic (arXiv:1812.05905) Transf

4 Nov 27, 2022

A highly efficient and modular implementation of Gaussian Processes in PyTorch

GPyTorch GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable, flexible, and modular Gaussian

3k Jan 2, 2023

A Python implementation of global optimization with gaussian processes.

Bayesian Optimization Pure Python implementation of bayesian global optimization with gaussian processes. PyPI (pip): $ pip install bayesian-optimizat

6.5k Jan 2, 2023

Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".

Matern Gaussian Processes on Graphs This repo provides an extension for gpflow with Matérn kernels, inducing variables and trainable models implemente

41 Dec 17, 2022

This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization

Spherical Gaussian Optimization This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization. This code has b

41 Dec 14, 2022

This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".

Deep Conditional Gaussian Mixture Model for Constrained Clustering. This repository holds the code for the paper Deep Conditional Gaussian Mixture Mod

17 Oct 30, 2022

Releases(v0.0)

Owner

AaltoML

Machine learning group at Aalto University lead by Prof. Solin

GitHub Repository

PyTorch implementation of federated learning framework based on the acceleration of global momentum

Federated Learning with Acceleration of Global Momentum PyTorch implementation of federated learning framework based on the acceleration of global mom

0 Dec 23, 2021

LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference This repository contains PyTorch evaluation code, training code and pretrained

504 Jan 02, 2023

PyTorch implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose

Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose Release Notes The official PyTorch implementation of Neural View S

20 Oct 09, 2022

Differential Privacy for Heterogeneous Federated Learning : Utility & Privacy tradeoffs

Differential Privacy for Heterogeneous Federated Learning : Utility & Privacy tradeoffs In this work, we propose an algorithm DP-SCAFFOLD(-warm), whic

19 Nov 10, 2022

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification (ICCV2021)

CM-NAS Official Pytorch code of paper CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification in ICCV2021. Vis

40 Nov 25, 2022

Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN)

Flickr-Faces-HQ Dataset (FFHQ) Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative

2.9k Dec 28, 2022

Python Implementation of algorithms in Graph Mining, e.g., Recommendation, Collaborative Filtering, Community Detection, Spectral Clustering, Modularity Maximization, co-authorship networks.

Graph Mining Author: Jiayi Chen Time: April 2021 Implemented Algorithms: Network: Scrabing Data, Network Construbtion and Network Measurement (e.g., P

3 Mar 03, 2022

Newt - a Gaussian process library in JAX.

Related tags

Overview

Newt

Installation

License

You might also like...

JAX-based neural network library

Scenic: A Jax Library for Computer Vision and Beyond

A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.

JAXDL: JAX (Flax) Deep Learning Library

A highly efficient and modular implementation of Gaussian Processes in PyTorch

A Python implementation of global optimization with gaussian processes.

Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".

This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization

This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".

Releases(v0.0)

Owner

AaltoML

PyTorch implementation of federated learning framework based on the acceleration of global momentum

LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

PyTorch implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose

Differential Privacy for Heterogeneous Federated Learning : Utility & Privacy tradeoffs

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification (ICCV2021)

Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN)

PyMove is a Python library to simplify queries and visualization of trajectories and other spatial-temporal data

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

EgGateWayGetShell py脚本

Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection

Event sourced bank - A wide-and-shallow example using the Python event sourcing library

Discover hidden deepweb pages

[CVPR 2021] Unsupervised 3D Shape Completion through GAN Inversion

A Player for Kanye West's Stem Player. Sort of an emulator.

My 1st place solution at Kaggle Hotel-ID 2021

Exploring Relational Context for Multi-Task Dense Prediction [ICCV 2021]

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

MultiTaskLearning - Multi Task Learning for 3D segmentation

Python Implementation of algorithms in Graph Mining, e.g., Recommendation, Collaborative Filtering, Community Detection, Spectral Clustering, Modularity Maximization, co-authorship networks.