janosh / tensorboard-reducerLinks
Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.
☆74Updated last week
Alternatives and similar repositories for tensorboard-reducer
Users that are interested in tensorboard-reducer are comparing it to the libraries listed below
Sorting:
- Simple tools to mix and match PyTorch and Jax - Get the best of both worlds!☆33Updated 2 months ago
- Truncated Normal Distribution in PyTorch☆84Updated last year
- Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow☆199Updated 11 months ago
- Aggregate multiple tensorboard runs to new summary or csv files☆172Updated last month
- JAX implementations of core Deep RL algorithms☆82Updated 3 years ago
- A collection of meta-learning algorithms in Jax☆23Updated 2 years ago
- A collection of RL algorithms written in JAX.☆100Updated 3 years ago
- Modular framework for Reinforcement Learning in python☆173Updated 2 years ago
- Reinforcement learning library in JAX.☆100Updated last year
- ☆157Updated last year
- Tutorial on amortized optimization for learning to optimize over continuous domains☆243Updated 4 months ago
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆239Updated 3 months ago
- TorchOpt is an efficient library for differentiable optimization built upon PyTorch.☆604Updated last week
- Accelerated minigrid environments with JAX☆141Updated last month
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆58Updated last year
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆48Updated last year
- General Modules for JAX☆66Updated 3 months ago
- A bare-bones Python library for quality diversity optimization.☆231Updated this week
- Efficiently Composable Data Augmentation on the GPU with Jax☆38Updated 2 months ago
- Vectorization techniques for fast population-based training.☆56Updated 2 years ago
- JMP is a Mixed Precision library for JAX.☆206Updated 5 months ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆281Updated this week
- ☆101Updated last year
- Accelerated Quality-Diversity☆307Updated last month
- Benchmarking RL generalization in an interpretable way.☆157Updated last month
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆57Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆130Updated last month
- Evolution Strategies in JAX 🦎☆642Updated last month
- An easy-to-use reinforcement learning library for research and education.☆169Updated 3 weeks ago
- OpTree: Optimized PyTree Utilities☆187Updated last week