nlp_course
YSDA course in Natural Language Processing
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NLP Course
A comprehensive Natural Language Processing course with interactive lectures, seminars, and homework assignments.
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Course materials
Repository containing lecture and seminar materials for a deep learning course taught in 2017
Course repo
An open source course materials repository for natural language processing, with lectures, readings, and assignments.
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Course Platform
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NLP course notes
Course notes and materials for teaching natural language processing in CS224N Winter17
NLP Tracker
A comprehensive repository tracking progress in NLP tasks and their corresponding datasets.
NLP models
A collection of pre-trained natural language processing models
Textual entailment system
Reproducible code and pre-trained model for an ACL2018 paper on textual entailment via deep explorations of inter-sentence interactions.
NLP tutorial
A comprehensive tutorial on deep learning for natural language processing with PyTorch, covering the basics and advancing to linguistic structure prediction.
Language model toolkit
A toolkit for training efficient neural network language models on large datasets with hierarchical softmax and noise contrastive estimation.
NLP roadmap
A comprehensive guide to learning Natural Language Processing
NLP toolkit
An NLP project offering various text classification models and techniques for deep learning exploration
Language Models
This repository contains source files and training scripts for language models.
NMT library
A PyTorch implementation of 2D convolutional neural networks for sequence-to-sequence prediction in machine translation
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