GPflow VS best-of-ml-python

Compare GPflow vs best-of-ml-python and see what are their differences.

GPflow

Gaussian processes in TensorFlow (by GPflow)
gaussian-processes Tensorflow gpflow Machine Learning variational-inference bayesian-statistics markov-chain-monte-carlo stochastic-processes Deep Learning ML gp
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best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. (by ml-tooling)
Python Machine Learning Data Science NLP Data Visualization Tensorflow Pytorch scikit-learn Keras data-visualizations Deep Learning Automl ML Jax Transformer Data Analysis chatgpt Gpt gpt-3
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ml-python.best-of.org
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GPflow best-of-ml-python
1 16
1,799 15,364
0.4% 0.9%
5.8 7.8
7 days ago 4 days ago
Python Python
Apache License 2.0 Creative Commons Attribution Share Alike 4.0
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.

best-of-ml-python

Posts with mentions or reviews of best-of-ml-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

What are some alternatives?

When comparing GPflow and best-of-ml-python 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. 📈

Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.

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

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

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

dtale - Visualizer for pandas data structures

PILCO - Bayesian Reinforcement Learning in Tensorflow

ffcv - FFCV: Fast Forward Computer Vision (and other 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.

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

GPflow vs whylogs best-of-ml-python vs Awesome-WAF GPflow vs mosec best-of-ml-python vs ktrain GPflow vs deeplake best-of-ml-python vs dtale GPflow vs PILCO best-of-ml-python vs ffcv GPflow vs Point-Processes best-of-ml-python vs awesome-python GPflow vs uq-vae best-of-ml-python vs kmodes