Terminal IDE-enabled Python micro-framework for pragmatic research code and training.
A transparent PyTorch micro-framework that organizes research code, training loops, dataset utilities, checkpointing, and experiment configuration. It includes a terminal-based IDE for stateful, iterative debugging and rapid development. Suited for research prototypes, reproducible experiments, and small-scale training workflows.
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