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coretex-0.0.9
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مشاهده بیشترتوضیحات
A package for AI experiment tracking, infrastructure and dataset management using Coretex.ai platform.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | coretex-0.0.9 |
| نام | coretex |
| نسخه کتابخانه | 0.0.9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | ['Duško Mirković <dmirkovic@coretex.ai>, Jovica Zarić <jzaric@coretex.ai>, Darko Zarić <dzaric@coretex.ai>, Bogdan Tintor <btintor@coretex.ai>, Alex Maslennikov <alex@coretex.ai>, Igor Perić <igor@coretex.ai>'] |
| نویسنده | - |
| ایمیل نویسنده | Duško Mirković <dmirkovic@coretex.ai> |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/coretex/ |
| مجوز | - |
<h1 style="text-align: center;">Coretex.ai Python library</h1>
Manage the complete lifecycle of your experiments and complex workloads, from project inception to production deployment and monitoring.
## What is Coretex.ai?
Coretex.ai is a powerful MLOps platform designed to make AI experimentation fast and efficient. With Coretex.ai, data scientists, ML engineers, and less experienced users can easily:
* Run their data processing experiments,
* Build AI models,
* Perform statistical data analysis,
* Run computational simulations.
Coretex.ai helps you iterate faster and with more confidence. You get reproducibility, scalability, transparency, and cost-effectiveness.
## Get started
**Step 1:** [Sign up for a free account ->](https://coretex.ai/)
**Step 2:** Install coretex:
```bash
$ pip install coretex
```
**Step 3:** Migrate your project to coretex:
```python
from coretex import CustomDataset, ExecutingExperiment
from coretex.project import initializeProject
def main(experiment: ExecutingExperiment[CustomDataset]):
# Remove "pass" and start project execution from here
pass
if __name__ == "__main__":
initializeProject(main)
```
(Read the documentation and learn how you can migrate your project to the Coretex platform -> [Migrate your project to Coretex](https://app.gitbook.com/o/6QxmEiF5ygi67vFH3kV1/s/YoN0XCeop3vrJ0hyRKxx/getting-started/demo-experiments/migrate-your-project-to-coretex))
## Key Features
Coretex.ai offers a range of features to support users in their AI experimentation, including:
* **Project Templates:** Battle-tested templates that make training ML models and processing data simple,
<p align="center">
<img aspect-ratio="718/371" src="https://coretex-resources.s3.amazonaws.com/coretex/images/templates_preview.png">
</p>
* **Machine Learning Model Creation:** Quick and easy creation of machine learning models, with less friction and more stability,
<p align="center">
<img aspect-ratio="1283/679" src="https://coretex-resources.s3.amazonaws.com/coretex/images/models_preview.png">
</p>
* **Optimized Pipeline Execution:** Execution optimization of any computational pipeline, including large-scale statistical analysis and various simulations,
<p align="center">
<img aspect-ratio="1243/769" src="https://coretex-resources.s3.amazonaws.com/coretex/images/pipeline_preview.png">
</p>
* **Team Collaboration:** The whole workflow in Coretex is centered around this concept to help centralize user management and enable transparent monitoring of storage and compute resources for administrators,
<p align="center">
<img aspect-ratio="1094/651" src="https://coretex-resources.s3.amazonaws.com/coretex/images/organization_preview.png">
</p>
* **Dataset Management and Annotation Tools:** Powerful tools for managing and annotating datasets,
<p align="center">
<img aspect-ratio="1283/679" src="https://coretex-resources.s3.amazonaws.com/coretex/images/dataset_preview.png">
</p>
* **Experiment Orchestration and Result Analysis:** Detailed management of experiments, ensuring reproducibility and easy comparison of results,
<p align="center">
<img aspect-ratio="1283/341" src="https://coretex-resources.s3.amazonaws.com/coretex/images/experiments_preview.png">
</p>
* **IT Infrastructure Setup:** Easy setup of IT infrastructure, whether connecting self-managed computers or using paid, dynamically scalable cloud computers,
<p align="center">
<img aspect-ratio="1285/300" src="https://coretex-resources.s3.amazonaws.com/coretex/images/nodes_preview.png">
</p>
* **Live Metrics Tracking:** Real-time tracking of experiment metrics during execution,
<p align="center">
<img aspect-ratio="1283/397" src="https://coretex-resources.s3.amazonaws.com/coretex/images/metrics_preview.png">
</p>
* **Artifact Upload and Management:** Easy upload and management of experiment artifacts, including models and results.
<p align="center">
<img aspect-ratio="1283/543" src="https://coretex-resources.s3.amazonaws.com/coretex/images/artifacts_preview.png">
</p>
## Guaranteeing Reproducibility
One of the key benefits of Coretex.ai is its ability to guarantee reproducibility. The platform keeps track of all experiment configurations and parameters between runs, ensuring that users never lose track of their work.
## Supported Use Cases
Coretex.ai is a versatile platform that can be used for a variety of use cases, including:
* Training ML models,
* Large-scale statistical analysis,
* Simulations (physics, molecular dynamics, population dynamics, econometrics, and more).
## Compatibility with other libraries
Coretex is compatible with all ML libraries such as Wandb, Tensorboard, PyTorch, and etc. There are no limits when it comes to Coretex integration with other libraries.
## Support
If you require any assistance or have any questions, our support team is available to help. Please feel free to reach out to us through our contact page or via email support@coretex.ai. We will be happy to assist you with any inquiries or issues you may have. Check out the Coretex platform overview at [coretex.ai](https://www.coretex.ai) for more information, tutorials, and documentation.
نیازمندی
| مقدار | نام |
|---|---|
| - | requests |
| - | inflection |
| - | pillow |
| - | numpy |
| - | scikit-image |
| - | shapely |
| ~=3.19.0 | protobuf |
| - | typed-argument-parser |
| - | termcolor |
| - | typing-extensions |
| - | psutil |
| - | py3nvml |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.8 | Python |
نحوه نصب
نصب پکیج whl coretex-0.0.9:
pip install coretex-0.0.9.whl
نصب پکیج tar.gz coretex-0.0.9:
pip install coretex-0.0.9.tar.gz