ML training orchestration for the Crucible ecosystem. Distributed training, hyperparameter optimization, checkpointing, model versioning, metrics collection, early stopping, LR scheduling, gradient accumulation, and mixed precision training with Nx/Scholar integration.
machine-learning elixir phoenix research ai deep-learning metrics neural-networks hyperparameter-optimization gradient-descent nx model-training distributed-training scholar mlops ml-ops experiment-tracking training-framework nshkr-crucible checkpoint-management
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Updated
Dec 27, 2025 - Elixir