janosh / tensorboard-reducerLinks
Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.
☆73Updated this week
Alternatives and similar repositories for tensorboard-reducer
Users that are interested in tensorboard-reducer are comparing it to the libraries listed below
Sorting:
- Aggregate multiple tensorboard runs to new summary or csv files☆173Updated last week
- JAX implementations of core Deep RL algorithms☆79Updated 3 years ago
- Simple tools to mix and match PyTorch and Jax - Get the best of both worlds!☆30Updated last month
- Truncated Normal Distribution in PyTorch☆84Updated last year
- A collection of meta-learning algorithms in Jax☆23Updated 2 years ago
- A collection of RL algorithms written in JAX.☆98Updated 2 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆52Updated 2 years ago
- Efficiently Composable Data Augmentation on the GPU with Jax☆35Updated 3 weeks ago
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆238Updated 2 months ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆57Updated last year
- Benchmarking RL generalization in an interpretable way.☆156Updated 2 months ago
- Accelerated minigrid environments with JAX☆138Updated 3 weeks ago
- Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow☆198Updated 9 months ago
- ☆80Updated 7 months ago
- JAX implementations of various deep reinforcement learning algorithms.☆22Updated 4 months ago
- Baselines for gymnax 🤖☆66Updated 2 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆48Updated 11 months ago
- General Modules for JAX☆66Updated 2 months ago
- Conservative Q learning in Jax☆54Updated 2 years ago
- Reinforcement learning library in JAX.☆100Updated last year
- Fast Discounted Cumulative Sums in PyTorch☆96Updated 3 years ago
- ☆101Updated last year
- ☆35Updated 5 years ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆53Updated 3 weeks ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 3 years ago
- Modular framework for Reinforcement Learning in python☆173Updated 2 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆142Updated last year
- An implementation of MuZero in JAX.☆56Updated 2 years ago
- PAIRED in PyTorch 🔥☆60Updated 2 years ago