GPflow VS PILCO

Compare GPflow vs PILCO and see what are their differences.

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GPflow PILCO
1 2
1,799 306
0.4% -
5.8 0.0
7 days ago about 3 years 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.

PILCO

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

What are some alternatives?

When comparing GPflow and PILCO 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. 📈

rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

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

DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

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

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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

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.

uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

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

muzero-general - MuZero