174 Open source projects that are alternatives of or similar to GPim

Tensorflow2 Object Detection APIのハンズオン用資料です(Hands-on documentation for the Tensorflow2 Object Detection API)

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

Open Delmic Microscope Software

Simple demo of structured illumination microscopy image fusion via Richardson-Lucy deconvolution

Interactive visualization of Gaussian processes

Manual, source-code and binaries for the NanoJ-Fluidics project

Mixed-Integer Parallel Efficient Global Optimization

🔬🍸 Home of the ImageJ BAR: A collection of Broadly Applicable Routines for ImageJ

Solving two-dimensional spin models with tensor networks (powered by PyTorch)

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

Official Python implementation of the 'Sparse deconvolution'-v0.3.0

Probabilistic Programming with Gaussian processes in Julia

Lattice light-sheet post-processing utility.

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Code for my master's thesis. Instance segmentation of fluorescence microscopy images with deep learning.

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

Learnable Embedding Space for Efficient Neural Architecture Compression

Gaussian Process Motion Planner 2

A collection of tools for painting super-resolution images

Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.

This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.

Collection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools and AI tools.

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

Automated 3D brain registration with support for multiple species and atlases.

No description or website provided.

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Kriging Toolkit for Python

Deep and Machine Learning for Microscopy

Combining tree-boosting with Gaussian process and mixed effects models

Fast and Accurate 3D PSF Computation for Fluorescence Microscopy

Max-value Entropy Search for Efficient Bayesian Optimization

Gaussian process modelling in Python

Simple notebook to stream torrent files to Google Drive using Google Colab and python3.

This repository holds the Google Colabs for the EdX TinyML Specialization

Gaussian processes in TensorFlow

Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX

Fast and Easy Infinite Neural Networks in Python

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Python3 project applying Gaussian process regression for forecasting stock trends

Differentiable Gaussian Process implementation for PyTorch

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326

A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.

Automated 3D cell detection and registration of whole-brain images

Reinforcement Learning algorithm's using google-colab

A minimal implementation of Gaussian process regression in PyTorch

Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019

No description or website provided.

Axon/Myelin segmentation using Deep Learning

An easy and fast library to apply gaussian blur filter on any images. 🎩

Buckle up, adventure in the styleGAN2-ada-pytorch network latent space awaits

Fast and flexible Gaussian Process regression in Python

Tutorial on Bayesian optimization in R

Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features

A didactic Gaussian process package for researchers in Jax.

Deodorant: Solving the problems of Bayesian Optimization

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

native Python dataclasses for the OME data model

Bayesian Optimization algorithms with various recent improvements