Everything you want to know about Google Cloud TPU
☆570Jul 16, 2024Updated last year
Alternatives and similar repositories for tpu-starter
Users that are interested in tpu-starter are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- JAX Synergistic Memory Inspector☆186Jul 16, 2024Updated last year
- A set of Python scripts that makes your experience on TPU better☆56Sep 18, 2025Updated 8 months ago
- Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax☆709Jan 26, 2026Updated 4 months ago
- JAX implementation of the Llama 2 model☆217Feb 2, 2024Updated 2 years ago
- A simple library for scaling up JAX programs☆147Nov 4, 2025Updated 7 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Train very large language models in Jax.☆208Oct 21, 2023Updated 2 years ago
- A simple, performant and scalable Jax LLM!☆2,311Updated this week
- Minimal but scalable implementation of large language models in JAX☆34Nov 28, 2025Updated 6 months ago
- jax-triton contains integrations between JAX and OpenAI Triton☆462Jun 1, 2026Updated last week
- Accelerate, Optimize performance with streamlined training and serving options with JAX.☆365Updated this week
- ☆16Jul 8, 2024Updated last year
- TPU pod commander is a package for managing and launching jobs on Google Cloud TPU pods.☆20Sep 24, 2025Updated 8 months ago
- If it quacks like a tensor...☆59Nov 13, 2024Updated last year
- JAX implementation of the bart-base model☆34Apr 11, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- CLU lets you write beautiful training loops in JAX.☆366Mar 3, 2026Updated 3 months ago
- Inference code for LLaMA models in JAX☆120May 21, 2024Updated 2 years ago
- Implementation of Flash Attention in Jax☆227Mar 1, 2024Updated 2 years ago
- Enabling PyTorch on XLA Devices (e.g. Google TPU)☆2,786May 27, 2026Updated 2 weeks ago
- Machine Learning eXperiment Utilities☆48Jul 29, 2025Updated 10 months ago
- Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…☆554Jun 4, 2026Updated last week
- JAX - A curated list of resources https://github.com/google/jax☆2,124Jan 20, 2026Updated 4 months ago
- JMP is a Mixed Precision library for JAX.☆214Jan 30, 2025Updated last year
- JAX implementation of the Mistral 7b v0.2 model☆35Jul 3, 2024Updated last year
- 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.
- URL downloader supporting checkpointing and continuous checksumming.☆19Nov 29, 2023Updated 2 years ago
- JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs wel…☆445Jan 5, 2026Updated 5 months ago
- Einsum-like high-level array sharding API for JAX☆34Jul 16, 2024Updated last year
- Convenient Text-to-Text Training for Transformers☆18Dec 10, 2021Updated 4 years ago
- Minimal yet performant LLM examples in pure JAX☆256Apr 10, 2026Updated 2 months ago
- ☆2,967May 20, 2026Updated 3 weeks ago
- Flax is a neural network library for JAX that is designed for flexibility.☆7,227Jun 5, 2026Updated last week
- Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.☆265Mar 21, 2025Updated last year
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆2,515Aug 13, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- LoRA for arbitrary JAX models and functions☆144Feb 26, 2024Updated 2 years ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,902Jun 7, 2026Updated last week
- OSLO: Open Source framework for Large-scale model Optimization☆309Aug 25, 2022Updated 3 years ago
- ☆583Jul 11, 2024Updated last year
- Tutorial to pretrain & fine-tune a 🤗 Flax T5 model on a TPUv3-8 with GCP☆58Jul 28, 2022Updated 3 years ago
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,820May 24, 2026Updated 3 weeks ago
- A stand-alone implementation of several NumPy dtype extensions used in machine learning.☆344May 27, 2026Updated 2 weeks ago