nmt-list
NMT implementations
A comprehensive catalog of various neural machine translation implementations using different deep learning frameworks.
A list of Neural MT implementations
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69 forks
last commit: over 2 years ago
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deep-learningmachine-translationmtneural-machine-translationnmtsequence-to-sequence
Related projects:
Repository | Description | Stars |
---|---|---|
elbayadm/attn2d | A PyTorch implementation of 2D convolutional neural networks for sequence-to-sequence prediction in machine translation | 501 |
lmthang/nmt.matlab | Provides code to train state-of-the-art Neural Machine Translation systems using Matlab | 105 |
khanhptnk/bandit-nmt | A framework for integrating policy gradient methods into neural machine translation models and evaluating their performance under simulated human feedback. | 136 |
harvardnlp/seq2seq-attn | An implementation of a sequence-to-sequence model with attention mechanism using LSTMs and character embeddings for neural machine translation | 1,260 |
marian-nmt/marian | Fast Neural Machine Translation framework implemented in C++ with support for multi-GPU training and GPU/CPU translation. | 1,251 |
namisan/mt-dnn | A PyTorch package implementing multi-task deep neural networks for natural language understanding | 2,238 |
neulab/word-embeddings-for-nmt | An open source project that provides pre-trained word embeddings and a dataset for evaluating their usefulness in neural machine translation. | 121 |
franalgaba/neural-network-cairo | An implementation of a neural network from scratch using Cairo 1.0 for MNIST predictions | 10 |
netket/netket | Delivers methods for studying many-body quantum systems with machine learning and neural networks | 548 |
moses-smt/nplm | A toolkit for training neural network language models | 14 |
kefirski/bytenet | A Pytorch implementation of a neural network model for machine translation | 47 |
localminimum/qanet | An implementation of Google's QANet for machine reading comprehension using TensorFlow. | 983 |
neuralegion/shainet | A neural network implementation using object-oriented modeling and inspired by biological systems | 183 |
dathoangnd/gonet | A Go module implementing a multi-layer Neural Network for machine learning tasks | 82 |
aditya-khant/neural-assembly-compiler | A compiler that translates neural assembly code into pyTorch format | 27 |