Metadata-Version: 2.1
Name: gamba-torch
Version: 0.0.1
Summary: gamba - Pytorch
Home-page: https://github.com/kyegomez/gamba
License: MIT
Keywords: artificial intelligence,deep learning,optimizers,Prompt Engineering
Author: Kye Gomez
Author-email: kye@apac.ai
Requires-Python: >=3.6,<4.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: swarms
Requires-Dist: torch
Requires-Dist: zetascale
Project-URL: Documentation, https://github.com/kyegomez/gamba
Project-URL: Repository, https://github.com/kyegomez/gamba
Description-Content-Type: text/markdown

[![Multi-Modality](agorabanner.png)](https://discord.gg/qUtxnK2NMf)

# Gamba
Implementation of "GAMBA: MARRY GAUSSIAN SPLATTING WITH MAMBA FOR SINGLE-VIEW 3D RECONSTRUCTION" in PyToch

## install
`$ pip intall gamba`

## usage
```python
import torch 
from gamba.main import Gamba


# Forward pass of the GambaDecoder module.
x = torch.randn(1, 1000, 512)

# Model
model = Gamba(
    dim=512,
    d_state=512,
    d_conv=512,
    n=16384,
    depth=3
)

# Out
out = model(x)
print(out)
```


# License
MIT

