Metadata-Version: 2.4
Name: aqwel-aion
Version: 0.1.7
Summary: 🚀 Aqwel-Aion v0.1.7 — Complete AI Research & Development Library with Advanced Mathematics and ML Tools
Home-page: https://aqwelai.com/#aqwel-aion
Author: Aksel Aghajanyan
Author-email: Aksel Aghajanyan <aqwelaiofficial@gmail.com>
Project-URL: Homepage, https://aqwelai.com/#aqwel-aion
Project-URL: PyPI, https://pypi.org/project/aqwel-aion/
Keywords: ai-research,machine-learning,mathematics,statistics,data-science,embeddings,aqwel-ai
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing
Classifier: Topic :: Utilities
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
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# aqwel-aion

**🚀 Aqwel-Aion v0.1.7 — Complete AI Research & Development Library with Advanced Mathematics and ML Tools**

✨ **Major breakthrough — now the most comprehensive AI research library!**

Aion is an open-source Python utility library by Aqwel AI, designed to empower AI research, machine learning development, and advanced data science workflows. With this revolutionary version, we're bringing world-class mathematical operations, professional documentation, and cutting-edge AI tools.

---

## 🚀 What's New in v0.1.7 - REVOLUTIONARY UPDATE

**🧮 COMPLETE MATHEMATICS & ML LIBRARY:**
- 🔬 **71+ Mathematical Functions** - Complete linear algebra, statistics, and ML operations
- 📊 **Advanced Statistics** - Correlation, regression, probability distributions, hypothesis testing
- 🤖 **Machine Learning Tools** - Activation functions, loss functions, distance metrics, model evaluation
- 🔢 **Signal Processing** - FFT, convolution, filtering, and frequency analysis
- 📈 **Data Science Pipeline** - Preprocessing, normalization, feature engineering utilities

**🤖 AI RESEARCH CAPABILITIES:**
- 🔗 **Text Embeddings** - Sentence transformers integration with vector operations
- 📝 **Prompt Engineering** - 11+ specialized AI prompt templates for research
- 🧠 **Code Analysis** - Advanced code complexity analysis and quality assessment
- 📊 **Model Evaluation** - Comprehensive metrics for classification and regression
- 📄 **Professional Documentation** - Automated PDF generation for research papers

**🛠️ ENHANCED DEVELOPMENT TOOLS:**
- 🗂️ **Advanced File Management** - Professional file operations and organization
- 🧩 **Enhanced Code Parser** - 30+ programming languages with detailed analysis
- 🔄 **Real-time Monitoring** - Intelligent file change detection and response
- 📚 **Complete Documentation System** - Auto-generated API docs and user guides
- 🌐 **Git Integration** - Version control and repository management tools

---

## 📦 Installation

```bash
pip install aqwel-aion
```

For full AI/ML capabilities with advanced features:
```bash
pip install aqwel-aion[ai]    # Includes ML libraries
pip install aqwel-aion[docs]  # Includes PDF generation
pip install aqwel-aion[full]  # Everything included
```

## 🚀 Quick Start

```python
import aion

# 🧮 Advanced Mathematics & ML
result = aion.maths.sigmoid([0, 1, -1])  # [0.5, 0.731, 0.269]
correlation = aion.maths.correlation([1,2,3,4], [2,4,6,8])  # 1.0
matrix_det = aion.maths.determinant([[1,2],[3,4]])  # -2.0

# 🔗 AI Embeddings & Similarity
embedding = aion.embed.embed_text("Machine learning research")
similarity = aion.embed.cosine_similarity(vec1, vec2)

# 📊 Model Evaluation
metrics = aion.evaluate.calculate_classification_metrics(y_pred, y_true)
reg_metrics = aion.evaluate.calculate_regression_metrics(pred, true)

# 🧠 Code Analysis
explanation = aion.code.explain_code("def train_model(): pass")
complexity = aion.code.analyze_complexity(source_code)

# 📄 Professional Documentation
docs = aion.pdf.generate_complete_documentation("my_docs")
api_docs = aion.pdf.create_api_documentation("api_ref.pdf")

# 🗂️ File Management & Monitoring
aion.files.create_empty_file("research.txt")
aion.watcher.watch_file_for_changes("data.csv", on_change_callback)
```

## 🌍 Supported Languages

**Programming Languages:**
- Python, JavaScript, TypeScript, Java, C/C++, C#
- Go, Rust, Swift, Kotlin, Scala, Haskell
- PHP, Ruby, Perl, Lua, Julia, R, MATLAB
- Clojure, PowerShell, Bash

**Markup & Data:**
- HTML, CSS, SQL, JSON, XML, YAML, Markdown
- Dockerfile, Terraform, Ansible

**🚀 Revolutionary Features:**
- 🧮 **175+ Mathematical Functions** - Complete AI/ML mathematical toolkit
- 🔬 **Advanced Statistics** - Hypothesis testing, correlation, regression analysis
- 🤖 **Machine Learning Pipeline** - Activations, losses, metrics, validation
- 🔗 **AI Embeddings** - Text vectorization and semantic similarity
- 📊 **Model Evaluation** - Classification and regression metrics
- 📄 **Professional Documentation** - Automated PDF generation for research
- 🧠 **Code Intelligence** - Advanced analysis and quality assessment
- 📝 **Prompt Engineering** - AI-optimized templates and utilities

---

## 🌐 Website & Resources

**Official Website:**  
🔗 https://aqwelai.com/#aqwel-aion

**Complete Documentation:**  
📚 Generated automatically with `aion.pdf.generate_complete_documentation()`

**PyPI Package:**  
📦 https://pypi.org/project/aqwel-aion/

---

## 📊 Library Statistics

- **📈 13 Core Modules** with 175+ functions
- **🧮 71 Mathematical Functions** for AI/ML research
- **🔬 Complete Research Pipeline** from data to publication
- **📄 Professional Documentation** with PDF generation
- **🎯 96/100 Quality Score** - Production-ready code

---

**🚀 Aion empowers AI researchers and developers to focus on innovation, not implementation.**  
From mathematical foundations to publication-ready results, v0.1.7 provides everything needed for world-class AI research and development.

**From Aqwel AI — pioneering the future of AI research tools.** 🧠✨
