jaxrl VS indaba-pracs-2022

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

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jaxrl indaba-pracs-2022
2 1
576 172
- 0.6%
0.0 0.0
over 1 year ago about 1 month 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.

jaxrl

Posts with mentions or reviews of jaxrl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-20.

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 jaxrl and indaba-pracs-2022 you can also consider the following projects:

jaxrl_m - Skeleton for scalable and flexible Jax RL implementations

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

sbx - SBX: Stable Baselines Jax (SB3 + Jax)

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

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

pymc-resources - PyMC educational resources

Popular-RL-Algorithms - PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

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

uvadlc_notebooks - Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

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, ... 🧠