All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog and this project adheres to Semantic Versioning.
- Aggregation of all Vix AI modules:
- ML: datasets, regression, clustering
- Tensor: device/tensor/engine primitives
- NN: neural network layers, training, inference
- NLP: tokenization, text preprocessing, sequence models
- Vision: image loading, transformations, simple models
- Distributed: P2P networking, distributed computation
- Unified CMake build system for AI submodules.
- Examples demonstrating integration between modules (e.g., distributed training with NN and Tensor).
- Unit tests across all submodules for interoperability.
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- Initial release of Vix AI ecosystem.
- Core modules:
ml/: machine learning utilitiestensor/: tensors and computation primitivesnn/: neural networksnlp/: natural language processingvision/: computer vision utilitiesdistributed/: distributed P2P computation
- CMake options for building, testing, warnings, and installation.
- Examples and test programs for each submodule.
- Fully compatible with all Vix AI submodules, enabling cross-module pipelines.
- N/A
- N/A