☆304Jul 15, 2024Updated 2 years ago
Alternatives and similar repositories for nanodo
Users that are interested in nanodo are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- seqax = sequence modeling + JAX☆195Jul 23, 2025Updated 11 months ago
- A simple, performant, and scalable Jax LLM!☆2,365Updated this week
- ☆591Jul 11, 2024Updated 2 years ago
- Minimal but scalable implementation of large language models in JAX☆34Nov 28, 2025Updated 7 months ago
- Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax☆707Jan 26, 2026Updated 5 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆19Jul 8, 2026Updated last week
- Minimal (truly) muP implementation, consistent with TP4 and TP5 papers notation☆14Jan 2, 2026Updated 6 months ago
- JAX implementation of the Mistral 7b v0.2 model☆35Jul 3, 2024Updated 2 years ago
- A JAX research toolkit for building, editing, and visualizing neural networks.☆1,891Jun 22, 2025Updated last year
- A set of Python scripts that makes your experience on TPU better☆56Sep 18, 2025Updated 10 months ago
- Train very large language models in Jax.☆208Oct 21, 2023Updated 2 years ago
- ☆27Jul 9, 2024Updated 2 years ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Apr 17, 2024Updated 2 years ago
- Minimal yet performant LLM examples in pure JAX☆267Jul 4, 2026Updated 2 weeks ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆35Apr 12, 2024Updated 2 years ago
- Distributed pretraining of large language models (LLMs) on cloud TPU slices, with Jax and Equinox.☆27Sep 29, 2024Updated last year
- Compositional Linear Algebra☆517Aug 1, 2025Updated 11 months ago
- supporting pytorch FSDP for optimizers☆84Dec 8, 2024Updated last year
- ☆93Jul 5, 2024Updated 2 years ago
- WIP☆96Aug 13, 2024Updated last year
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆422May 11, 2026Updated 2 months ago
- A simple library for scaling up JAX programs☆148Nov 4, 2025Updated 8 months ago
- Einsum-like high-level array sharding API for JAX☆35Jul 16, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- An implementation of the Llama architecture, to instruct and delight☆21May 31, 2025Updated last year
- A library for unit scaling in PyTorch☆134Jul 11, 2025Updated last year
- Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam☆88Jul 28, 2024Updated last year
- JAX Synergistic Memory Inspector☆186Jul 16, 2024Updated 2 years ago
- maximal update parametrization (µP)☆1,740Jul 17, 2024Updated 2 years ago
- Implementation of Diffusion Transformer (DiT) in JAX☆320Jun 11, 2024Updated 2 years ago
- CLU lets you write beautiful training loops in JAX.☆368Jul 7, 2026Updated 2 weeks ago
- Simple Transformer in Jax☆143Jun 22, 2024Updated 2 years ago
- ☆31Sep 22, 2025Updated 9 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for the paper "Function-Space Learning Rates"☆23Jun 3, 2025Updated last year
- Experiment of using Tangent to autodiff triton☆82Jan 22, 2024Updated 2 years ago
- ☆54May 20, 2024Updated 2 years ago
- A simple, performant and scalable JAX-based world modeling codebase.☆155Jan 15, 2026Updated 6 months ago
- Library for reading and processing ML training data.☆752Updated this week
- Minimal and scalable research codebase in JAX, designed for rapid iteration on frontier research in LLM and other autoregressive models.☆548Jun 19, 2026Updated last month
- ☆22Apr 22, 2024Updated 2 years ago