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nips-papers

nlc

Neural Language Correction implemented on Tensorflow

nli

Enhanced LTSM for natural language inference

nli-calypso

CS224n final project

nlp-abstractivesummarizer

Text summarization is a very challenging problem that can only be truly realized by understanding meaning of the textual content. Recently, deep recurrent neural networks have been used in the sequence to sequence framework to achieve good results on summarization tasks. In this project we explore the success achieved by a stacked LSTM encoder – attention based decoder architecture on the English Gigaword dataset. We employ the usual best practices of sequence to sequence models with a complete end-to-end training, and have decent results to show on generating summaries of 10 words or less, for 2 line texts with a maximum of 30 words. We also explore on improvements in network training time, computation and refinement of summaries through various experiments.

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-resources

A curated list of natural language processing courses, video lectures, books, library and many more.

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_sanskrit_project

Project on Vectorization of sentences in Sanskrit.

nlpaug

Data augmentation for NLP

nlpia

Examples and libraries for "Natural Language Processing in Action" book

nmt

TensorFlow Neural Machine Translation Tutorial

nn4nlp2017-code

Code Samples from Neural Networks for NLP

notes

Notes on data science, machine learning, artificial intelligence, history, and social science.

notes-1

Resources to learn more about Machine Learning and Artificial Intelligence

nqg

Code for the paper "Neural Question Generation from Text: A Preliminary Study"

ntcir-13-qa-lab-3-essay-question-answering-system

NTCIR-13 QA Lab-3 Essay Question-Answering System

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

nyc-data-science-academy

Collection of projects done at NYC Data Science Academy 12-week full time data science bootcamp.

object-classification-and-localization-with-tensorflow

This repository is containing an object classification & localization project for SINGLE object.

object-detection

Object detection on thermal images(FLIR dataset)

object-detection-and-distance-measurement

Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.

object-detection-flask-opencv

Web application for real-time object detection using Flask and OpenCV

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

object_detection_ocr

Pretrained deep learning features for Documents trained on OCR results with Object Detection frameworks

object_detector_app

Real-Time Object Recognition App with Tensorflow and OpenCV

obstructionremoval

[CVPR 2020] Learning to See Through Obstructions

ocrmypdf

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

og-aws

📙 Amazon Web Services — a practical guide

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment