lagrangebench VS indaba-pracs-2022

Compare lagrangebench vs indaba-pracs-2022 and see what are their differences.

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lagrangebench indaba-pracs-2022
1 1
53 172
- 0.6%
9.4 0.0
6 days ago about 2 months ago
Jupyter Notebook Jupyter Notebook
MIT 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.

lagrangebench

Posts with mentions or reviews of lagrangebench. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-11.

indaba-pracs-2022

Posts with mentions or reviews of indaba-pracs-2022. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing lagrangebench and indaba-pracs-2022 you can also consider the following projects:

PyCBC-Tutorials - Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.

neural-tangents - Fast and Easy Infinite Neural Networks in Python

jaxrl - JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

pymc-resources - PyMC educational resources

bodywork-pymc3-project - Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork

brax - Massively parallel rigidbody physics simulation on accelerator hardware.

nn - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠