semvec/pypi-packages huggingface dataset:
nexus-deep-learning 0.1.0
A modular deep learning library for implementing AI research papers
Requires Python: >=3.7

# 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
- ⚡ 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