GPflow VS uq-vae

Compare GPflow vs uq-vae and see what are their differences.

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GPflow uq-vae
1 1
1,799 5
0.4% -
5.8 5.7
7 days ago over 1 year ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

GPflow

Posts with mentions or reviews of GPflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-09.

uq-vae

Posts with mentions or reviews of uq-vae. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing GPflow and uq-vae you can also consider the following projects:

whylogs - An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

fortuna - A Library for Uncertainty Quantification.

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

PILCO - Bayesian Reinforcement Learning in Tensorflow

Point-Processes - This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A Machine Learning Perspective.

vbmc - Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

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.

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]