cgarciae / nanoGPT-jaxLinks
The simplest, fastest repository for training/finetuning medium-sized GPTs.
☆36Updated last year
Alternatives and similar repositories for nanoGPT-jax
Users that are interested in nanoGPT-jax are comparing it to the libraries listed below
Sorting:
- A collection of meta-learning algorithms in Jax☆23Updated 2 years ago
- Jax/Flax rewrite of Karpathy's nanoGPT☆59Updated 2 years ago
- A simple library for scaling up JAX programs☆143Updated 9 months ago
- ☆81Updated 9 months ago
- JAX implementations of core Deep RL algorithms☆82Updated 3 years ago
- An implementation of MuZero in JAX.☆56Updated 2 years ago
- Minimal but scalable implementation of large language models in JAX☆35Updated last month
- Accelerated minigrid environments with JAX☆144Updated 2 weeks ago
- LoRA for arbitrary JAX models and functions☆142Updated last year
- minGPT in JAX☆48Updated 3 years ago
- Accelerated replay buffers in JAX☆43Updated 2 years ago
- Minimal yet performant LLM examples in pure JAX☆150Updated this week
- Simple tools to mix and match PyTorch and Jax - Get the best of both worlds!☆33Updated 3 months ago
- Scaling scaling laws with board games.☆53Updated 2 years ago
- General Modules for JAX☆67Updated 4 months ago
- Baselines for gymnax 🤖☆71Updated 2 years ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆59Updated last year
- Turn jitted jax functions back into python source code☆22Updated 8 months ago
- Implementation of PSGD optimizer in JAX☆34Updated 7 months ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆114Updated last year
- Minimal, lightweight JAX implementations of popular models.☆93Updated last week
- Pytorch-like dataloaders for JAX.☆94Updated 3 months ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆58Updated 3 years ago
- Reinforcement learning library in JAX.☆100Updated last year
- ☆82Updated 5 months ago
- ☆115Updated last week
- Maximal Update Parametrization (μP) with Flax & Optax.☆16Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated last year
- ☆56Updated 2 years ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆110Updated last year