semvec/pypi-packages huggingface dataset:
MultiGATE 0.1.0
MultiGATE single cell
License: MIT
Requires Python: ==3.7.*

# MultiGATE


![Overview](https://github.com/aqlkzf/typoraimg/raw/main//imgmac/MultiGATE_framework.png)

MultiGATE is a two-level graph-attention auto-encoder designed for spatial multi-omics analysis. It extracts the latent embeddings of the pixels/spots in spatial multi-omics data, while simultaneously incorporating the regulatory relationship of the cross-modality features through the cross-modality attention mechanism and the spatial relationship of the pixels/spots through the within-modality attention mechanism. In addition to reconstruction loss, a CLIP contrastive loss aligns embeddings across modalities.  MultiGATE yields (i) latent representations of pixels for clustering and visualization and (ii) cross-modality attention scores for cross-modality regulatory inference.

## Reproduce

The `/Reproduce` directory contains scripts and resources to reproduce the main figures and results of MultiGATE, including spatial clustering results, cis-regulation, trans-regulation analysis, long-range interaction detection, and protein-gene interaction findings. Please refer to the instructions and scripts in this directory to replicate the key analyses and visualizations presented in the paper.

## Usage && installation

Please follow the [Tutorials](https://multigate.readthedocs.io/en/latest) for installation and Usage.
indic-nlp-library-itt 0.1.1
The goal of the Indic NLP Library is to build Python based libraries for common  text processing and Natural Language Processing in Indian languages. This fork is specialized for IndicTrans2.
License: MIT
Requires Python: >=3.10

# Indic NLP Library
This repository is a _de-bloated_ fork of the original [Indic NLP Library](https://github.com/anoopkunchukuttan/indic_nlp_library) and integrates [UrduHack](https://github.com/urduhack/urduhack) submodule and [Indic NLP Resources](https://github.com/anoopkunchukuttan/indic_nlp_resources) directly. This allows to work with Urdu normalization and tokenization without needing to install [urduhack](https://pypi.org/project/urduhack/) and `indic_nlp_resources` separately, which can be an issue sometimes as it is `TensorFlow` based. This repository is mainly created and mainted for [Rotary-IndicTrans2](https://huggingface.co/collections/prajdabre/indictrans2-rope-6742ddac669a05db0804db35), [IndicTrans2](https://huggingface.co/collections/ai4bharat/indictrans2-664ccb91d23bbae0d681c3ca) and [IndicTransToolkit](https://github.com/VarunGumma/IndicTransToolkit)

For any queries, please get in touch with the original authors/maintainers of the respective libraries:

- `Indic NLP Library`: [anoopkunchukuttan](https://github.com/anoopkunchukuttan)
- `Indic NLP Resources`: [anoopkunchukuttan](https://github.com/anoopkunchukuttan) 
- `UrduHack`: [UrduHack](https://github.com/urduhack)

## Usage:
```bash
pip install indic-nlp-library-itt
```

## Updates:
- Integrated `urduhack` directly into the repository.
- Renamed `master` branch as `main`.
- Integrated `indic_nlp_resources` directly into the repository.
- _Debloated_ and _Refactored_ the repository (Please raise any issues/bugs you find!)