A stand-alone implementation of several NumPy dtype extensions used in machine learning.
☆337Mar 16, 2026Updated 3 weeks ago
Alternatives and similar repositories for ml_dtypes
Users that are interested in ml_dtypes 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-triton contains integrations between JAX and OpenAI Triton☆444Mar 26, 2026Updated 2 weeks ago
- A small library for creating and manipulating custom JAX Pytree classes☆56Feb 26, 2023Updated 3 years ago
- Generic floating-point types in Python☆16Dec 17, 2025Updated 3 months ago
- ☆353Updated this week
- ☆933Apr 7, 2026Updated last week
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆312Apr 6, 2026Updated last week
- CLU lets you write beautiful training loops in JAX.☆368Mar 3, 2026Updated last month
- Named Tensors for Legible Deep Learning in JAX☆217Nov 8, 2025Updated 5 months ago
- Minimal but scalable implementation of large language models in JAX☆35Nov 28, 2025Updated 4 months ago
- Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…☆549Apr 6, 2026Updated last week
- OpTree: Optimized PyTree Utilities☆208Apr 6, 2026Updated last week
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,030Dec 17, 2025Updated 3 months ago
- JAX Synergistic Memory Inspector☆187Jul 16, 2024Updated last year
- Einsum-like high-level array sharding API for JAX☆34Jul 16, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Tensor Parallelism with JAX + Shard Map☆11Sep 29, 2023Updated 2 years ago
- Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax☆703Jan 26, 2026Updated 2 months ago
- JMP is a Mixed Precision library for JAX.☆212Jan 30, 2025Updated last year
- Optax is a gradient processing and optimization library for JAX.☆2,232Apr 3, 2026Updated last week
- JAX-Toolbox☆401Updated this week
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,773Apr 5, 2026Updated last week
- A Pytree Module system for Deep Learning in JAX☆212Feb 26, 2023Updated 3 years ago
- Extending JAX with custom C++ and CUDA code☆402Aug 18, 2024Updated last year
- An implementation of the Llama architecture, to instruct and delight☆21May 31, 2025Updated 10 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Exponential families for JAX☆77Updated this week
- Train very large language models in Jax.☆209Oct 21, 2023Updated 2 years ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,845Apr 5, 2026Updated last week
- ☆21Mar 3, 2025Updated last year
- TensorDict is a pytorch dedicated tensor container.☆1,019Updated this week
- Inference Combinators in JAX☆53May 17, 2025Updated 10 months ago
- Repository for AI model benchmarking on TT-Buda☆16Feb 9, 2026Updated 2 months ago
- Library for reading and processing ML training data.☆711Updated this week
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆4,151Updated this week
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Orbax provides common checkpointing and persistence utilities for JAX users☆499Updated this week
- Benchmark tests supporting the TiledCUDA library.☆18Nov 19, 2024Updated last year
- JAX Arrays for human consumption☆111Oct 23, 2025Updated 5 months ago
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆524Mar 19, 2026Updated 3 weeks ago
- PyTorch emulation library for Microscaling (MX)-compatible data formats☆352Jun 18, 2025Updated 9 months ago
- Implementation of Flash Attention in Jax☆228Mar 1, 2024Updated 2 years ago
- PyTorch native quantization and sparsity for training and inference☆2,769Updated this week