Metadata-Version: 2.1
Name: progen-torch
Version: 0.0.3
Summary: Paper - Pytorch
Home-page: https://github.com/kyegomez/Progen
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 :: 3.6
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: einops
Requires-Dist: torch
Project-URL: Repository, https://github.com/kyegomez/Progen
Description-Content-Type: text/markdown

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

# Progen
Implementation of Progen in Pytorch, from the paper "ProGen: Language Modeling for Protein Generation"

GPT for proteins sequences

[Paper Link](https://arxiv.org/pdf/2004.03497.pdf)

# Appreciation
* Lucidrains
* Agorians

# Install
`pip install progen-torch`

# Usage
```python
from progen_torch import ProGen

x = torch.randint(0, 100, (1, 1024))
model = ProGenBase(num_tokens=100, dim=512, seq_len=1024, depth=6)
outputs = model(x)
print(outputs)

```

# Architecture

# Todo


# License
MIT

# Citations


