Clojure Fast Matrix Library - GPU and native CPU.
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nekoweb is a developer resource for coding, documentation, communities, security research, or software tools.
Searchable repository for finding basic in biology and medicine datasets and datasets.
Neocities is a developer resource for coding, documentation, communities, security research, or software tools.
Neon is a developer resource for coding, documentation, communities, security research, or software tools.
Neovim is a developer resource for coding, documentation, communities, security research, or software tools.
NeoVimCraft is a developer resource for coding, documentation, communities, security research, or software tools.
Nept is a developer resource for coding, documentation, communities, security research, or software tools.
Searchable repository for finding economics datasets and datasets.
Netblocks is an educational resource for documentaries, courses, books, reference material, or self-learning.
Searchable repository for finding epidemiology and medical biometry/statistics datasets and datasets.
Searchable repository for finding atmospheric, oceanography and climate datasets and datasets.
NetKnots is an educational resource for documentaries, courses, books, reference material, or self-learning.
netlify is a developer resource for coding, documentation, communities, security research, or software tools.
Visualizer for neural network, deep learning and machine learning models.
Dataset repository covering biology, with searchable aggregated data.
Browse digitized texts, images, archives and cataloged cultural materials.
Networking Toolbox is a developer resource for coding, documentation, communities, security research, or software tools.
Dataset repository covering life, with searchable datasets.
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
A PyTorch implementation of DeepDream.
A parallel neural net microframework.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.