mlx-dev

Write correct, idiomatic Apple MLX code for Apple Silicon ML. Use when working with MLX arrays, neural networks, training loops, lazy evaluation, unified memory, mx.eval, mx.compile, Metal GPU, memory optimization, quantization, or Apple Silicon performance. Covers critical API differences from PyTorch/NumPy, array indexing gotchas (lists must be mx.array, slices create copies), NHWC format for Conv2d, __call__ not forward(), float64 CPU-only, mlx-lm integration, and debugging patterns.

apple-siliconmetal-gpumemory-optimizationquantization

tkwn2080

31

dendrite-reforging-protocol

Reforge neural dendrite patterns after catastrophic failure.

neural-networksdendritesbrain-repairpattern-recognition

starwreckntx

1

deep-learning

PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production

pytorchtensorflowneural-networkscnn

pluginagentmarketplace

11

deep-learning

Build and train neural networks with PyTorch - MLPs, CNNs, and training best practices

deep-learningpytorchneural-networksmlp

pluginagentmarketplace

11