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279 search results found

Emosense Semeval2019 Task3 Emocontext ⭐ 9

Deep-learning system presented in "EmoSence at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual Conversations" at SemEval-2019.

Nlp For Odia ⭐ 9

State of the Art Language models and Classifier for Odia, which is spoken in the Indian state of Odisha

Emocontext ⭐ 9

Data provided by Microsoft

Wordembeddings ⭐ 9

Some experimentations with word embeddings

Neural_cf ⭐ 9

Comparing keras, pytorch and gluon using neural collaborative filtering

Bias_in_gendered_languages ⭐ 9

This is a repo for the EMNLP 19 Paper on gender bias in gendered languages.

Languagebiasesinreddit ⭐ 9

Repository for the paper "Discovering and Categorising Language Biases in Reddit" accepted at the International Conference on Web and Social Media (ICWSM 2021).

Sarcasm_detection ⭐ 9

Haplophysh ⭐ 9

🎣 Using deep learning (word level and character level embeddings combined with GRU layers) to detect Phishing using the URL

Moleculartransformerembeddings ⭐ 8

Code and data for the Transformer neural network trained to translate between molecular text representations and create molecular embeddings.

Word2vec Embeddings ⭐ 8

Understanding Word2Vec with Gensim and Elang (Python Packages)

Representation_learning ⭐ 8

This repository contains supplementary material for the book "Representation learning: propositionalization and embeddings"

Globalphone_awe ⭐ 8

Multilingual acoustic word embedding approaches applied and evaluated on GlobalPhone data.

Notebooks and overall materials of the HybridNLP 2018@ISWC2018 tutorial (http://expertsystemlab.com/hybridNLP18/)

Nlp For Punjabi ⭐ 8

State of the Art Language models and Classifier for punjabi language (spoken in Indian sub-continent)

Nlp For Kannada ⭐ 8

State of the Art Language models and Classifier for Kannada, which is spoken predominantly by Kannada people in India, mainly in the state of Karnataka

Naacl2018 Before Name Calling Habernal Et Al ⭐ 8

Code and data for NAACL 2018 article "Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation" by Habernal et al.

Word Embeddings for Low Resource Languages: The Case of Buryat

A web app that help users pick their next insta-vacation destinations.

Learning Embeddings Into Entropic Wasserstein Spaces Ensae ⭐ 7

A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the results on word embeddings.

Kaggle_google_quest_qa_labeling ⭐ 7

30th place solution in Google QUEST Q&A Labeling competition

Compare_word_embedding ⭐ 7

意味表現学習

Whales Classification ⭐ 7

My solution to the Global Data Science Challenge

Mlads Textembedding Bert Elmo Tutorial ⭐ 7

Deep Embedded Music ⭐ 7

Creation of an embedding space using unsupervised triplet loss and Tile2Vec that can be used for a variety of downstream tasks

Machine Comprehension Keras ⭐ 7

SimpleQA for SQuAd Dataset

Granular Similarity Coling 2020 ⭐ 7

Code for the paper "The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks" accepted at COLING 2020

Doc2vec_cqadupstack ⭐ 7

Code for reproducing J Lau's doc2vec results on CQADupStack

CPRec: Learning Consumer and Producer Embeddings for User-Generated Content Recommendation

Edge Enhanced Embeddings ⭐ 6

Code for the CIKM 2018 Paper "Enhanced Network Embeddings via Exploiting Edge Labels"

Music_recom ⭐ 6

Hybrid music recommender system

Practicalnlp ⭐ 6

A collection of things to do.

Bert_tutorial ⭐ 6

Magnet Multi Label Text Classi Cation Using Attention Based Graph Neural Network ⭐ 6

This GitHub repository provides an implementation of the paper "MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network" . MAGNET is a state-of-the-art approach for multi-label text classification, leveraging the power of graph neural networks (GNNs) and attention mechanisms.

Wineinamillion ⭐ 6

Wine Recommender created with sentence-BERT and NearestNeighbor on AWS SageMaker

Job Word Embeddings ⭐ 6

Word embeddings for job postings

Dshealth2019_loinc_embeddings ⭐ 6

Code and Word2Vec embeddings of LOINC codes for KDD 2019 DSHealth paper "Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer Center": https://arxiv.org/abs/1907.09600

Implementation of Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations

Textsimilarity ⭐ 6

Matching short text segments

Code supporting the paper Graph-Embedding Empowered Entity Retrieval

Nlp For Gujarati ⭐ 6

State of the Art Language models and Classifier for Gujarati, which is a language native to the Indian state of Gujarat

Lstm Tensorflow ⭐ 6

Implementation of Long Short Term Memory networks in Tensorflow

Quora_test ⭐ 6

Quick Pytorch attempt at the quora kaggle challende

Textxd 2017 ⭐ 6

Materials for preTextXD-2017: zero -> Text Analysis

Practical Llm And Gpt Applications ⭐ 6

The repository is aimed at providing practical examples and resources for developers and researchers interested in applying LM and GPT models to real-world NLP problems.

Python implementation of node2vec to generate node embeddings in a graph

Quorainsincere ⭐ 6

SDML Quora Insincere Challenge

Bcn Cnn Text Classification ⭐ 6

Text classification experiments using TextCNNs and Bi-attentive Classification Networks

Semantic Text Segmentation With Embeddings ⭐ 6

Uses GloVe embeddings and greedy sequence segmentation to semantically segment a text document into any number of k segments.

Entropic Wasserstein Embedding ⭐ 6

This is a course project of « Geometric Methods in Machine Learning » @ ENSAE, which aims at implementing the paper « Learning Embeddings into Wasserstein Spaces » (C. Frogner, et al.)

Research2vec2 ⭐ 6

Updated from the original Research2vec project

Poincare Embedding ⭐ 6

embedding with poincare embedding

Icd Prediction Mimic ⭐ 6

Predicting ICD Codes from Clinical Notes

Nlp_topic_embeddings ⭐ 6

Classifying financial complaints into >400 categories, using Natural Language Processing (NLP) and deep-learning. Specifically, I explore the using of "topic embedding" (inspired by the InstaCart models) to reduce the effective dimensionality of the financial "sub-issues" into a low-dimension space. This was a demo-project for Insight Data Toronto

Movie Review Classification ⭐ 6

Predicted IMDB movie review polarity in Python with GloVe word embedding and XGBoost model.

Deepredmt ⭐ 6

Deepred-Mt is a novel method based on deep neural networks to predict C-to-U editing sites in angiosperm mitochondrial RNA.

Meta_embedding_clustering ⭐ 6

Clustering of tweets based on textual content using meta embeddings and community detection

Quora Insincere Questions Classification ⭐ 6

45th Place Solution of the Quora insincere questions classification competition in Kaggle.

Lorentz_embeddings_recreation ⭐ 6

A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)

Text To Image Using Gan ⭐ 6

This repository consists of code that is used to convert text-embeddings into Images using Generative Adversarial Networks(GAN)

Crosslingual Nlp Amld2020 ⭐ 6

Material for the hands-on workshop in the "Applied Machine Learning Days at EPFL 2020"

Asc_triplet ⭐ 6

triplet loss on Acoustic Scene Classification-PyTorch

We introduce a novel approach for Autonomous System (AS) embedding using deep learning based on only BGP announcements. Using these vectors we are able to solve multiple important classification problems such as AS business types, AS Types of Relationship (ToR) and even IP hijack detection.

Umap Examples Mammoth ⭐ 5

Wangchan Analytica ⭐ 5

Business Analytics class at VISTEC

Recipe_bucktsong_awe_py3 ⭐ 5

Unsupervised acoustic word embeddings evaluated on Buckeye English and NCHLT Xitsonga data in Python 3.

Retailhero_recommender ⭐ 5

1st place solution

Python Openai Projects ⭐ 5

12 projects using ChatGPT API, Whisper, Embeddings, and DALL-E with Python.

Size Fit Net ⭐ 5

PyTorch Implementation of A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce (RecSys'19)

Sentiment Analysis With Word Embeddings ⭐ 5

A Sentiment Analysis model in keras to analyse toxic comments online . The Corpus is preprocessed using Glove Word Embeddings .

Nlp For Marathi ⭐ 5

State of the Art Language models and Classifier for Marathi, which is spoken predominantly by Marathi people of Maharashtra, India

Medicalqa ⭐ 5

Course2019 ⭐ 5

A course on distributional semantics at Novosibirsk State University (NSU), Spring 2019

Mini Projects ⭐ 5

Deep Learning, NLP, Word Embeddings (Word2Vec, Doc2Vec)

Avito_demand_prediction_2018 ⭐ 5

Avito_demand_prediction_2018 solution, 131th place, bronze

Computational LitErAry Repository an open source machine-readable tool and data repository for Scandinavian literature

LocEmb: Location Embedding (Currently covering districts, roads, and businesses in Korea)

Next Item Recommendation Using Keras ⭐ 5

Next-item recommendation on top of Amason’s explicit rating dataset, using deep learning with Keras

Awesomener ⭐ 5

An implementation of bidirectional LSTM-CRF for Named Entity Relationship on custom corpus with custom word embeddings

Tokenization And Word Embedding Compatibility ⭐ 5

The Quora Insincere Question Classification competition allows us to use the four embeddings: glove.840B.300d (GloVe), paragram_300_sl999 (paragram), wiki-news-300d-1M (wiki) and GoogleNews-vectors-negative300 (GoogleNews). In a kernel titled: "How to: Preprocessing when Using Embeddings", the author raises the issue of tokenization and its effect on how much of the training vocabulary is covered by words in an embedding. The author uses Google news embeddings to illustrate this point. In this k

Quora Question Similarity Using Bert Embeddings With Siamese Networks As Feature Extractors ⭐ 5

Proposed a model architecture which learns to classify duplicate question pairs based on highly contextualized sentence representations. Achieved by using both individual and combined sentence embeddings based on Word2Vec, GloVe and FastText word embeddings with CNN(convolutional neural networks) and DNN(Dense neural network) Siamese networks and an array of features engineered using sentence structure, fuzzy logic , BERT sentence embeddings and BERT [CLS] token.

Sentiment_embeddings ⭐ 5

A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets

Unsupervised Morphology Induction Word2vec ⭐ 5

Implementation of Unsupervised Morphology Induction Using Word Embeddings

Sentence Splitter For Russian ⭐ 5

Sentence Boundary Detection in raw text input

MHC-antigen affinity prediction using TensorFlow.

Python implementation of DNGR model (Deep Neural Networks for Graph Representations)

Bias_on_word2vec ⭐ 5

Man is to Computer Programmer as Woman is to Homemaker??? Debasing Portuguese Language Models.

Lemmatisation using Deep Learning

Metricinteractivesegmentation ⭐ 5

Learning pixelwise embeddings for interactive image segmentation

Crosslingual Topic Modeling with WikiPDA

Tensorflow Rnn Tutorials ⭐ 5

Tutorial on English to Hindi Transliteration using Seq2Seq Architecture in Tensorflow

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