edward2 vs uncertainty-baselines

edward2

A simple probabilistic programming language. (by google)

Source Code

Suggest alternative

Edit details

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks. (by google)

bayesian-methods Deep Learning Machine Learning Data Science Tensorflow neural-networks Statistics probabilistic-programming

Source Code

Suggest alternative

Edit details

Our great sponsors

WorkOS - The modern identity platform for B2B SaaS

InfluxDB - Power Real-Time Data Analytics at Scale

SaaSHub - Software Alternatives and Reviews

Our great sponsors

edward2		uncertainty-baselines
	Project
1	Mentions	3
664	Stars	1,362
1.1%	Growth	1.8%
6.4	Activity	5.5
5 months ago	Latest Commit	24 days ago
Jupyter Notebook	Language	Python
Apache License 2.0	License	Apache License 2.0

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.

edward2

Posts with mentions or reviews of edward2. We have used some of these posts to build our list of alternatives and similar projects.

Is Edward2 still a part of Tensorflow/Tensorflow Probability or is it discontinued?
1 project | /r/tensorflow | 23 Jun 2022

uncertainty-baselines

Posts with mentions or reviews of uncertainty-baselines. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-17.

Google AI Introduces ‘Uncertainty Baselines Library’ For Uncertainty and Robustness in Deep Learning
2 projects | /r/artificial | 17 Oct 2021

Code for https://arxiv.org/abs/2106.04015 found: https://github.com/google/uncertainty-baselines
[D] Mixed Precision Training Tips
1 project | /r/MachineLearning | 22 Jun 2021

I know Reddit likes dumping on TensorFlow but it's actually really easy. Set a policy and upcast your final logits to float32.

What are some alternatives?

When comparing edward2 and uncertainty-baselines you can also consider the following projects:

Knet.jl - Koç University deep learning framework.

pytorch-forecasting - Time series forecasting with PyTorch

conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

probability - Probabilistic reasoning and statistical analysis in TensorFlow

Bayeslite - BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.

cracking-the-data-science-interview - A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

deep_learning_and_the_game_of_go - Code and other material for the book "Deep Learning and the Game of Go"

geomstats - Computations and statistics on manifolds with geometric structures.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python