# Nexus Deep Learning Library
Nexus is a modular deep learning library built on PyTorch that enables rapid implementation of state-of-the-art AI research papers. It provides reusable components across multiple domains including NLP, Computer Vision, Reinforcement Learning, and Robotics.
## Key Features
- 🧠Modular implementation of popular deep learning architectures
- 🔄 Mix-and-match components across different domains
- âš¡ Efficient training with automatic mixed precision and distributed training support
- 🎯 Ready-to-use examples for common tasks
- 📦 Built-in caching and streaming data pipelines
## Installation
```bash
pip install nexus-deep-learning
```
## Quick Start
```python
from nexus.models.cv import VisionTransformer
from nexus.training import Trainer
```
### Create model
```python
model = VisionTransformer(config={
"image_size": 224,
"patch_size": 16,
"num_classes": 1000,
"embed_dim": 768,
"num_layers": 12,
"num_heads": 12
})
```
### Train model
```python
trainer = Trainer(model=model, config={
"dataset": "imagenet",
"batch_size": 128,
"num_epochs": 100
})
```
### Documentation
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