Uses JAX for GPU/TPU accelerated nonlinear least-squares curve fitting
Project description
This is a longer description for the project
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
jaxfit-0.0.5.tar.gz
(49.3 kB
view details)
Built Distribution
jaxfit-0.0.5-py3-none-any.whl
(36.3 kB
view details)
File details
Details for the file jaxfit-0.0.5.tar.gz.
File metadata
- Download URL: jaxfit-0.0.5.tar.gz
- Upload date:
- Size: 49.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 773ec9601fe9b1049c26dec7d7b0c3531b211be951a25cbbc54ada0fac8fa85a |
|
| MD5 | 7c266ce41a054404a00503afd5592e7b |
|
| BLAKE2b-256 | 5977bbfcdae192a0051e0df52ffa69b8ea7feb4a455dd61f4708bfaaa7be2d9b |
File details
Details for the file jaxfit-0.0.5-py3-none-any.whl.
File metadata
- Download URL: jaxfit-0.0.5-py3-none-any.whl
- Upload date:
- Size: 36.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 722f872ff5451253bb918278a666ba4e34db450844bf56cf0b0c7dfe2a964cb8 |
|
| MD5 | 2f18a1c3ec1bda8860a091843bd661f7 |
|
| BLAKE2b-256 | abdbf2479f3e749c34a51f96751ad7864ab1625972f394d5f7fda78cafd72a92 |
