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adnn

Javascript neural networks on top of general scalar/tensor reverse-mode automatic differentiation.

• automatic differentiation
• neural networks

dritchie

• 2.0.10 • 7 years ago • 4 dependents • MITpublished version 2.0.10, 7 years ago4 dependents licensed under $MIT

ad.js

Automatic Differentiation for Javascript

• automatic differentiation
• overloaded operators

iffsid

• 1.4.1 • 10 years ago • 0 dependents • MITpublished version 1.4.1, 10 years ago0 dependents licensed under $MIT

recurrent-js-gpu

GPU-accelerated Deep Recurrent Neural Networks and LSTMs in Typescript. Ported, object-oriented and refactored version of Andrej Karpathy's recurrent-js (https://github.com/karpathy/recurrentjs)

• gpu
• gpgpu
• webgl
• recurrent
• neural networks
• lstm
• long short-term memory
• expression graphs
• automatic differentiation
• backprop

mvrahden

• 1.4.9 • 7 years ago • 0 dependents • MITpublished version 1.4.9, 7 years ago0 dependents licensed under $MIT