There are 40 repositories under neural-machine-translation topic.
Unsupervised text tokenizer for Neural Network-based text generation.
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Fast inference engine for Transformer models
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Neural machine translation and sequence learning using TensorFlow
A list of NLP(Natural Language Processing) tutorials
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
curated collection of papers for the nlp practitioner 📖👩🔬
Open-Source Neural Machine Translation in Tensorflow
TensorFlow and Deep Learning Tutorials
Open neural machine translation models and web services
Sequence-to-Sequence learning using PyTorch
ChineseNMT: Translate English to Chinese with PyTorch Implementation of Transformer
An open-source tool for sequence learning in NLP built on TensorFlow.
Sequence-to-Sequence Framework in PyTorch
Sequence to sequence learning using TensorFlow.
Cross platform C++ library focusing on optimized machine translation on the consumer-grade device.
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Fast Neural Machine Translation in C++ - development repository
Multi-language Analyze text in 26 Cantonal Swiss German, Italian, German, Chinese (simplified), French, Italian. pply natural language understanding (NLU) to their applications with features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis.