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annax-0.0.1
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Fast and memory-efficient approximate nearest neighbor search with JAX
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | annax-0.0.1 |
| نام | annax |
| نسخه کتابخانه | 0.0.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | atksh |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | https://github.com/atksh/annax |
| آدرس اینترنتی | https://pypi.org/project/annax/ |
| مجوز | MIT License Copyright (c) 2023 atksh Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
# Annax: Approximate Nearest Neighbor Search with JAX
Annax is a high-performance Approximate Nearest Neighbor (ANN) library built on top of the JAX framework. It provides fast and memory-efficient search for high-dimensional data in various applications, such as large-scale machine learning, computer vision, and natural language processing. Annax leverages the power of GPU acceleration to deliver outstanding performance and includes a wide range of indexing structures and distance metrics to cater to different use cases. The easy-to-use API makes it accessible to both beginners and experts in the field.
## Features
- Fast and memory-efficient approximate nearest neighbor search
- GPU acceleration for high-performance computing
- Supports a wide range of indexing structures and distance metrics
- Easy-to-use API for seamless integration with existing projects
- Applicable to various domains, including machine learning, computer vision, and natural language processing
- Built on top of the JAX framework for enhanced flexibility and extensibility
## Installation
To install Annax, simply run the following command in your terminal:
```bash
pip install annax
```
## Quick Start
Here's a simple example of using Annax to find the nearest neighbors in a dataset:
```python
import numpy as np
import annax
# Generate some random high-dimensional data
data = np.random.random((1000, 128))
# Create an Annax index with the default configuration
index = annax.Index(data)
# Query for the 10 nearest neighbors of a random vector
query = np.random.random(128)
neighbors, distances = index.search(query, k=10)
```
### Index Types
- `annax.Index`: Flat Index
- `annax.IndexIVF`: Inverted File Index
- `annax.IndexPQ`: Product Quantization Index
- `annax.IndexIVFPQ`: Inverted File Index with Product Quantization
## Development
To install Annax for development, run the following commands in your terminal:
```bash
python -m pip install -e '.[dev]'
pre-commit install
```
## License
Annax is released under the MIT License.
نیازمندی
| مقدار | نام |
|---|---|
| >=0.4.8 | jax |
| >=0.4.7 | jaxlib |
| >=1.24.2 | numpy |
| ~=0.20.0 | zstandard |
| ~=7.2.2 | pytest |
| ~=23.3.0 | black |
| ~=5.12.0 | isort |
| ~=3.2.2 | pre-commit |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl annax-0.0.1:
pip install annax-0.0.1.whl
نصب پکیج tar.gz annax-0.0.1:
pip install annax-0.0.1.tar.gz