janosh / tensorboard-reducer
Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.
☆71Updated last month
Alternatives and similar repositories for tensorboard-reducer:
Users that are interested in tensorboard-reducer are comparing it to the libraries listed below
- Aggregate multiple tensorboard runs to new summary or csv files☆170Updated last year
- Truncated Normal Distribution in PyTorch☆84Updated last year
- JAX implementations of core Deep RL algorithms☆79Updated 2 years ago
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- A collection of meta-learning algorithms in Jax☆23Updated 2 years ago
- Modular framework for Reinforcement Learning in python☆171Updated 2 years ago
- Reinforcement learning library in JAX.☆101Updated last year
- Vectorization techniques for fast population-based training.☆55Updated 2 years ago
- JAX Arrays for human consumption☆90Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆95Updated last year
- Parameter-Free Optimizers for Pytorch☆113Updated 9 months ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆43Updated 7 months ago
- Hessian spectral density estimation in TF and Jax☆121Updated 4 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- ☆29Updated 4 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆48Updated last year
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆130Updated 5 years ago
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆128Updated 6 months ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆111Updated this week
- JAX implementations of various deep reinforcement learning algorithms.☆20Updated 2 weeks ago
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆225Updated last month
- Conservative Q learning in Jax☆52Updated 2 years ago
- PAIRED in PyTorch 🔥☆58Updated last year
- Fully differentiable RL environments, written in Ivy.☆64Updated last year
- Clean single-file implementation of offline RL algorithms in JAX☆132Updated last month
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆55Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆97Updated 10 months ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆141Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆79Updated last year