ml-eng-lab

A hands-on PyTorch notebook portfolio where each notebook runs end to end and is CI-validated via NNx — spanning classical ML, GNNs, NLP, transformer LMs with BPE, DDPM diffusion, DPO, JEPA, MoE, PEFT, quantization, pruning, and knowledge distillation.

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Start locally with the CLI guide

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