LNlnyan·Nov 16, 2024Submission
Numpyro: Probabilistic programming with NumPy powered by Jax
115 points · Open discussionpyro-ppl
numpyro
Python2019–2024
pyro-ppl / numpyro
numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
AI & Machine LearningSystems & InfrastructureLanguages & CompilersScience & EngineeringLibraries & SDKs
6Distinct people
6Mentions
0Explicit recommenders
2.8KGitHub stars
What to know before exploring
What it is
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
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Also in these discussions
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 12:54:37 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by year6 dated mentions
Observed mentions: 2019-06-03 19:23:55 UTC to 2024-11-16 12:41:18 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 2 | 2 | 0 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 2 | 1 | 1 |
What Hacker News says
6 sourcesnumpyro is an underrated library that runs on jax which makes it easy to put on the gpu. They have a nice suite of examples.
https://github.com/pyro-ppl/numpyro
In Bayesian Analysis with PythonPerhaps an alternative to look into: Numpyro [1] has a JAX backend so can be really fast when compiled; and it can run on GPUs. So that might be helpful for your problem with loads of data.
[1] https://github.com/pyro-ppl/numpyro
In Saving the World with Bayesian ModelingHello from the JAX team!
We'd like to take this opportunity to give a shout out to some of the awesome projects folks are building on top of JAX, e.g.,
* Flax, a neural network library for JAX (https://github.com/google/flax)
* Haiku, a neural network library for JAX inspired by Sonnet (https://github.com/deepmind/dm-haiku)
* RLax, a library for building reinforcement learning agents (https://github.com/deepmind/rlax)
* NumPyro, a probabilistic programming library on top of JAX (https://github.com/pyro-ppl/numpyro)
* JAX-MD, a differentiable molecular dynamics package built on top of JAX (https://github.com/google/jax-md)
In Jax – Composable transformations of Python and NumPy programsNumPyro – Probabilistic Programming with NumPy
5 points · Open discussionNumPyro: Probabilistic Programming with Numpy Powered by JAX
3 points · Open discussion