v0.1.0-alpha

[zenteiq]

SciREX v0.1.0-alpha Pre-release

We're excited to announce the first alpha release of SciREX (Scientific Research and Engineering eXcellence), an open-source framework designed to bridge the gap between theoretical research and practical implementation in scientific computing.

Overview

SciREX v0.1.0-alpha introduces the core foundation of our scientific computing and machine learning framework, developed through collaboration between Zenteiq Aitech Innovations and the AiREX Lab at IISc Bangalore.

Key Components

• Core Scientific Computing Infrastructure

  • Base model implementations
  • Optimization algorithms
  • Evaluation metrics suite
  • Initial PINNs (Physics-Informed Neural Networks) implementation

• Machine Learning Foundation

  • Supervised learning algorithms (Linear models, SVM, Neural Networks)
  • Unsupervised learning capabilities (Clustering, PCA)
  • Basic GPU acceleration support

• Visualization Tools

  • Training and evaluation plots
  • Model architecture visualization
  • Publication-ready figure export

Technical Foundation

• Modular architecture for extensibility
• Hardware-optimized computations
• Comprehensive testing infrastructure
• Documentation framework established

Licensing

Licensed under Apache License 2.0
Copyright (c) 2024 Zenteiq Aitech Innovations Private Limited and AiREX Lab, IISc Bangalore

Getting Started

Documentation is available at: https://scirex.org/docs

For support and discussions, join our Discord community: https://discord.gg/NWcCPx22Hq/

Note

This is an alpha release intended for early adopters and contributors. While core functionality is implemented, APIs may change significantly in future releases.

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This discussion was created from the release v0.1.0-alpha.