HJxB VS jaxrl

Compare HJxB vs jaxrl and see what are their differences.

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HJxB jaxrl
3 2
13 576
- -
0.0 0.0
over 2 years ago over 1 year ago
Python Jupyter Notebook
- 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.

HJxB

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

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.

What are some alternatives?

When comparing HJxB and jaxrl you can also consider the following projects:

jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

jaxrl_m - Skeleton for scalable and flexible Jax RL implementations

long-range-arena - Long Range Arena for Benchmarking Efficient Transformers

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

adaptive-policy-iteration - JAX implementation of Adaptive Approximate Policy Iteration (Hao et al., 2021)

indaba-pracs-2022 - Notebooks for the Practicals at the Deep Learning Indaba 2022.

dymos - Open Source Optimization of Dynamic Multidisciplinary Systems

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

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..

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