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ConfettiFX / The-Forge

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Basic Documentation

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Pewsplosions
Pewsplosions commented Nov 14, 2019

The Forge sounds pretty great but there does not seem to be much in the way of documentation.

I don't even see simple "How to compile" or build instructions. Which seems like a good place to start.

The description talks about it being like "Legos" where you can use the different parts of the system as needed. So does that mean it can be built in sections and integrated into other projects pi

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anoidgit / transformer

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Neutron: A pytorch based implementation of Transformer and its variants.

natural-language-processing python3 pytorch transformer seq2seq ensemble beam-search neural-machine-translation multi-gpu attention-is-all-you-need average-attention-network deep-representation dynamic-sentence-sampling robust-neural-machine-translation average-models optimizers sentential-context context-aware-nmt relative-position dynamic-batch-size
  • Updated Apr 30, 2020
  • Python

tamerthamoqa / facenet-pytorch-vggface2

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A PyTorch implementation of Google's FaceNet [1] paper for training a facial recognition model with Triplet Loss and an implementation of the Shenzhen Institutes of Advanced Technology's 'Center Loss' [2] combined with Cross Entropy Loss using the VGGFace2 dataset. A pre-trained model using Triplet Loss is available for download.

pytorch face-recognition facenet multi-gpu triplet-loss center-loss lfw-dataset cross-entropy-loss pretrained-model vggface2-dataset
  • Updated May 13, 2020
  • Python

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