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nips17-rexgen

Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network (NIPS 2017)

nitroml

NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.

nlp

IPA 인공지능센터 "고급(언어지능) 과정 1기" 스터디 자료

nlp-based_climate_technology_classification

[DACON] 자연어 기반 기후기술분류 AI 경진대회

nlp-in-practice

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

nlp-journey

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

nlp-papers-with-arxiv

Statistics and accepted paper list of NLP conferences with arXiv link

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-projects

🪐 End-to-end NLP workflows from prototype to production

nlp-recipes

Natural Language Processing Best Practices & Examples

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

nlp1310

nlp_study

[WikiDocs] 딥러닝을 이용한 자연어 처리 입문

nlpbook

pratical tips for Natural Language Processing

nltk

NLTK Source

nltk-trainer

Train NLTK objects with zero code

nltk3-cookbook

Code for NLTK3 Cookbook

nltk_book

NLTK Book

nltk_data

NLTK Data

nn-brain

Tutorial codes for modeling brains with neural nets

nn-from-scratch

Implementing a Neural Network from Scratch

nn4nlp-code

Code Samples from Neural Networks for NLP

nn_compression

nn_dynamics

nnabla

Neural Network Libraries

nnaudio

Audio processing by using pytorch 1D convolution network

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

nntimeseries

nnunet