Alternatives and similar repositories for tensorboard-reducer:

Users that are interested in tensorboard-reducer are comparing it to the libraries listed below

• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆79Updated 2 years ago
• lebrice / torch_jax_interop
  Simple tools to mix and match PyTorch and Jax - Get the best of both worlds!
  ☆26Updated 3 months ago
• Spenhouet / tensorboard-aggregator
  Aggregate multiple tensorboard runs to new summary or csv files
  ☆172Updated last year
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆95Updated 2 years ago
• tristandeleu / jax-meta-learning
  A collection of meta-learning algorithms in Jax
  ☆22Updated 2 years ago
• ShangtongZhang / rebib
  Retrieve information from DBLP and update BibTex files automatically
  ☆55Updated 2 years ago
• danijar / ninjax
  General Modules for JAX
  ☆64Updated 3 weeks ago
• toshas / torch_truncnorm
  Truncated Normal Distribution in PyTorch
  ☆84Updated last year
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆41Updated 2 years ago
• ethanluoyc / magi
  Reinforcement learning library in JAX.
  ☆100Updated last year
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆66Updated last year
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆45Updated 8 months ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated last year
• Howuhh / sac-n-jax
  Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch
  ☆48Updated last year
• khdlr / augmax
  Efficiently Composable Data Augmentation on the GPU with Jax
  ☆33Updated 8 months ago
• toshas / torch-discounted-cumsum
  Fast Discounted Cumulative Sums in PyTorch
  ☆95Updated 3 years ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆122Updated 11 months ago
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆99Updated last year
• sebascuri / hucrl
  ☆30Updated last year
• xl0 / lovely-jax
  JAX Arrays for human consumption
  ☆90Updated last year
• Reytuag / transformerXL_PPO_JAX
  ☆73Updated 4 months ago
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆38Updated 4 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆83Updated 3 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆151Updated 2 weeks ago
• ucl-dark / paired
  PAIRED in PyTorch 🔥
  ☆58Updated 2 years ago
• google-research / dice_rl
  ☆103Updated 7 months ago
• google-deepmind / jax_verify
  Neural network verification in JAX
  ☆141Updated last year
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆100Updated 2 years ago
• ElisevanderPol / symmetrizer
  ☆30Updated 4 years ago
• ahmed-touati / controllable_agent
  ☆43Updated last year