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Description: Make illia deployment-ready with serialization, integrations, and pre-trained models. Key Deliverables: - Model serialisation (save/load across backends) To Be Discussed: - ONNX export - 2-3 pre-trained models in model zoo - DGL backend (initial support)
Due by September 1, 2026Description: Expand Bayesian capabilities with new layers, distributions, and inference optimization. Key Deliverables: - 2-3 new Bayesian layers (Conv3d, GRU or MultiheadAttention) - MCDropout layer - 2-3 new distributions (Laplace, MixtureGaussian) - `illia.inference` module for efficient sampling - 3-4 new examples (total 7-9) or update the existing ones.
Due by June 30, 2026Description: Make illia production-ready for basic use cases. Focus on uncertainty quantification, practical examples, and GNN expansion. Key Deliverables: - `illia.metrics` module with UQ functions - 3-5 practical examples (vision, timeseries, GNN) - 2-3 new GNN layers for PyG - Complete non-parametric layer system - Comprehensive documentation update.
Due by April 30, 2026•2/2 issues closed