xbmu
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hat-trie
hat-trie PublicForked from Tessil/hat-trie
C++ implementation of a fast and memory efficient HAT-trie
C++
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algorithms
algorithms PublicForked from keon/algorithms
Minimal examples of data structures and algorithms in Python
Python
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RNNSharp
RNNSharp PublicForked from zhongkaifu/RNNSharp
RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language...
C#
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neural-machine-translation-tools
neural-machine-translation-tools PublicForked from tilde-nlp/neural-machine-translation-tools
Neural Machine Translation (NMT) Tools - a collection of tools for alignment extraction from NMT attention-based alignment matrices and smarter processing of unknown words in factored models.
C#
Repositories
- pytorch-original-transformer Public Forked from gordicaleksa/pytorch-original-transformer
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
xbmu/pytorch-original-transformer’s past year of commit activity - vit-pytorch Public Forked from lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
xbmu/vit-pytorch’s past year of commit activity - Transformer-Clinic Public Forked from LiyuanLucasLiu/Transformer-Clinic
Understanding the Difficulty of Training Transformers
xbmu/Transformer-Clinic’s past year of commit activity - linear-attention-transformer Public Forked from lucidrains/linear-attention-transformer
Transformer based on a variant of attention that is linear complexity in respect to sequence length
xbmu/linear-attention-transformer’s past year of commit activity
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