deviator
D для machine learning
Пока что без примеров:
https://github.com/rjkilpatrick/dlearn - High-level Linear algebra and scientific computing package in D
https://github.com/kbogert/libirl - Inverse Reinforcement Learning
https://github.com/DlangScience/dstats - A statistics library for D
https://github.com/ShigekiKarita/grain, https://github.com/ShigekiKarita/grain2 - Autograd and CUDA library for dynamic neural networks in D
https://github.com/lempiji/golem - A library that provides tensors and computational graphs for machine learning
https://github.com/henrygouk/dopt - A numerical optimisation and deep learning framework for D [outdated]
https://github.com/libmir/dcompute - Native execution of D on GPUs (the OpenCL and CUDA runtimes)
