Knet.jl is a deep learning framework implemented in plain Julia, developed at Koç University. It provides GPU operation support and automatic differentiation using dynamic computational graphs. The framework includes benchmarks comparing favorably against TensorFlow, PyTorch, and DyNet, and has a companion organization KnetML with models, tutorials, and layer collections.