A Jax-based differentiable Monte Carlo estimator with applications to differentiable simulation, computational geometry, and topology optimization.
Project description
The author of this package has not provided a project description
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
fibermc-0.0.1.tar.gz
(209.4 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
fibermc-0.0.1-py3-none-any.whl
(19.1 kB
view details)
File details
Details for the file fibermc-0.0.1.tar.gz.
File metadata
- Download URL: fibermc-0.0.1.tar.gz
- Upload date:
- Size: 209.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c86a868f7b25e0196031abbf8fd52a7404fbdce4c88dfe704eb3886b88794c31
|
|
| MD5 |
6c0240f50b5a0e97dc3f2b20c473dc71
|
|
| BLAKE2b-256 |
87727f1967e00b5ce42b6a080da327a41d70d40e59a96bc751cfb511a7a464bb
|
File details
Details for the file fibermc-0.0.1-py3-none-any.whl.
File metadata
- Download URL: fibermc-0.0.1-py3-none-any.whl
- Upload date:
- Size: 19.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4dcd981463c5979ec479ef647e224e9bd23a0586b79d3bcb4f442911122f6cfa
|
|
| MD5 |
cd91bbe8d6e0df20d4d7b72be4edafb1
|
|
| BLAKE2b-256 |
4c85e9db590e0dc2cad15b5b2f2383b8365ae59f198f37de6891a947dc9d9e89
|