497 Open source projects that are alternatives of or similar to Gpflow

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

Creative Prediction with Neural Networks

A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

Python bindings for BigML.io

Scalable identity resolution, entity resolution, data mastering and deduplication using ML

A high-level Bayesian analysis API written in Python

MLApp is a Python library for building scalable data science solutions that meet modern software engineering standards.

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Tools for an Aesara-based PPL.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Code for Neural Inverse Knitting: From Images to Manufacturing Instructions

Distributed scikit-learn meta-estimators in PySpark

Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations

An app to analyze the text and fixing the anomaly of the message that deviates from what is standard, normal, or expected. #AndroidDevChallenge

Polyaxon Core Client & CLI to streamline MLOps

Automatic Reparameterisation of Probabilistic Programs

Normal & height maps generation from single pictures

A Visual Exploration of Gaussian Processes

RidgeRun Inference Framework

Max-value Entropy Search for Efficient Bayesian Optimization

Demultiplexing pooled scRNA-seq data with or without genotype reference

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Open Source Photometric classification https://supernnova.readthedocs.io

LexNLP by LexPredict

Interactive visualization of Gaussian processes

双色球+大乐透彩票AI预测

Deep Learning Toolkit for Medical Image Analysis

Just add pull requests to this repo and stand a chance to win a limited edition Hacktoberfest T-shirt.

Efficient, lightweight variational inference and approximation bounds

Distributed SQL Engine in Python using Dask

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

speaker diarization system using an LSTM

Useful tools for periodicity analysis in time series data.

A flutter package for Fast, Accurate and Secure Credit card & Debit card scanning

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Official website for DEVSOC 21, our annual flagship hackathon.

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

README for Rekcurd projects

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Репозиторий направления Production ML, весна 2021

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

A Python package for building Bayesian models with TensorFlow or PyTorch

Racing game AI

Alpha principles for the ethical use of AI and Data Driven Technologies in Ontario | Proposition de principes pour une utilisation éthique des technologies axées sur les données en Ontario

PyTorch implementation of normalizing flow models

OpenAI's Gym written in pure Rust for blazingly fast performance

this resporatory have ml,ai,nlp,data science etc.python language related material from many websites eg. datacamp,geeksforgeeks,linkedin,youtube,udemy etc. also it include programming challange/competion solutions

A repository demonstrating all that's new in Android 11 for ML and how you could try it out for your own use-cases

Cut out objects and remove backgrounds from pictures with artificial intelligence

ML.NET is an open source and cross-platform machine learning framework for .NET.

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

TT Hackathon 2018 - Autocomplete for Visual Programming Nodes

A Scala feature transformation library for data science and machine learning

Use the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net

Code for the paper Implicit Weight Uncertainty in Neural Networks

Ladder Variational Autoencoders (LVAE) in PyTorch

Datasets, tools, and benchmarks for representation learning of code.