Implementation of Neural Machine Translation from Spanish to English
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Updated
Dec 26, 2023 - Python
Implementation of Neural Machine Translation from Spanish to English
Fine tuned Urdu to English machine translation pre train model using Hugging-Face Trainer API on custom dataset.
Realistic Chatbot based on NLP & TensorFlow
Seq2Seq model that restores punctuation on English input text.
A new seq2seq model for fast training.
include many sub-algorithms for the field of NLP
Build A task oriented conversational model using seq2seq approaches approaches : without-Attention, with-Attention, with-Transfer Learning
A tensorflow 2.0 implementation with keras
A Seq2Seq model for Tensorflow 2.0 and a few Tensorflow/Keras Seq2Seq model experiments.
Recurrent Neural Networks and their fun little usage
Repo for Mincall - MinION basecaller we're working on during academic year 2016/2017.
Configurable Encoder-Decoder Sequence-to-Sequence model. Built with TensorFlow.
Chatbot using Seq2Seq model using Tensorflow
Testing out different seq2seq models in TensorFlow, and an implementation of a neural transducer.
Deep Learning practice projects and tutorials. Forked from the Deep Learning Nanodegree Foundations program at Udacity.
Introduction nmt-chatbot is the implementation of chatbot using NMT - Neural Machine Translation (seq2seq). Includes BPE/WPM-like tokenizator (own implementation). Main purpose of that project is to make an NMT chatbot, but it's fully compatible with NMT and still can be used for sentence translations between two languages.
Very simple example of Seq2Seq model
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