ulmfit

practicingman/chinese_ulmfit

中文ULMFiT 情感分析 文本分类

amansrivastava17/embedding-as-service

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

prrao87/tweet-stance-prediction

Applying NLP transfer learning techniques to predict Tweet stance toward a topic

adamshamsudeen/Vaaku2Vec

Language Modeling and Text Classification in Malayalam Language using ULMFiT

jcatanza/Fastai-Deep-Learning-From-the-Foundations-TWiML-Study-Group

Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.

Emrys-Hong/fastai_sequence_tagging

sequence tagging for NER for ULMFiT

jfilter/ulmfit-for-german

👩‍🏫 Pre-trained German Language Model with sub-word tokenization for ULMFIT

vondersam/sdgs_text_classifier

Multi-Label Text Classification with Transfer Learning

adriacabeza/DeepCatalan

🤖 Deep Catalan: Bring closer the Catalan Language to Deep Learning using ULMFit.

mboukabous/Security-Intelligence-on-Exchanged-Multimedia-Messages-Based-on-Deep-Learning

Deep learning (DL) approaches use various processing layers to learn hierarchical representations of data. Recently, many methods and designs of natural language processing (NLP) models have shown significant development, especially in text mining and analysis. For learning vector-space representations of text, there are famous models like Word2vec, GloVe, and fastText. In fact, NLP took a big step forward when BERT and recently GTP-3 came out. Deep Learning algorithms are unable to deal with textual data in their natural language data form which is typically unstructured information; they require special representation of data as inputs instead. Usually, natural language text data needs to be converted into internal representations form that DL algorithms can read such as feature vectors, hence the necessity to use representation learning models. These models have shown a big leap during the last years. Their set ranges from the methods that embed words into distributed representations and use the language modeling objective to adjust them as model parameters (like Word2vec, fastText, and GloVe), to recently transfer learning models (like ELMo, BERT, ULMFiT, XLNet, ALBERT, RoBERTa, and GPT-2). These last use larger corpora, more parameters, more computing resources, and instead of assigning each word with a fixed vector, they use multilayer neural networks to calculate dynamic representations for the words according to their context, which is especially useful for the words with multiple meanings.

artefactory/deploy-fastai-torchserve-aiplatform

Deploy FastAI Trained PyTorch Model in TorchServe and Host in GCP's AI-Platform Prediciton.

aditya10/ULMFiT-fastai-text-classifier

Stack Overflow question tagging. Find the tutorial on Medium

jcblaisecruz02/Tagalog-BERT

Filipino pretrained BERT & ULMFiT models, plus large unlabeled text corpora

danjohnvelasco/Filipino-ULMFiT

Pre-trained AWD-LSTM language model trained on Filipino text corpus using fastai v2. Instructions included.

tblock/thesis-data

Supplementary scripts and data for my thesis

inspirehep/inspire-classifier

INSPIRE text classification microservice

simecek/Czech-ULMFiT

ULMFiT language model for Czech language

1073521013/PSL-DL

Method Development for Predicting Protein Subcellular Localization Based on Deep Learning

ck37/toxic-comments-fastai-pytorch

Analyzing Jigsaw's toxic comments Kaggle challenge using fastai + pytorch

mihayy/review_aspect_score_prediction

Master's Thesis: “Stance Detection in Scientific Reviews"

prashantkh19/Disaster-Tweets-Classification

Predicting which Tweets are about real disasters and which one’s aren’t.

anmolpant/ULMFiT-Sentiment

Applying a semi-supervised ULMFiT model to Twitter US Airlines Sentiment.

apchavan/ULMFiT_Twitter

ULMFiT model for Twitter US Airlines Sentiment

avinashhsinghh/Sentiment-Analysis-using-RNN-_-LSTM-ULMFiT-

Sentiment-Analysis using RNN LSTM ULMFiT

dhamvi01/Fast.ai-Text-Classification

jcblaisecruz02/awd-lstm

AWD-LSTM and ULMFiT reproduction from scratch

karthikayan4u/Simplified-ULMFIT-for-Twitter-Airlines-Sentiment-Classification

A Supervised ULMFiT model on Twitter US Airlines Sentiment Challenge.

Kartikaggarwal98/Reddit_Flair_Detection

Flair predictor for r/india subreddit using NLP models: https://flairr.herokuapp.com/

parvathysarat/pretrained-lm-tasks

ULMFiT, BERT-QA

Srijha09/Detecting-Depression-with-a-Flask-Application

Flask based application using to detect depression for transcripts of interviews from patients

ikros98/ULMFiT-for-Italian

ULMFit model for the Italian language / creation of a parallel corpus

sanjeepan23/Dravidian-CodeMix-FIRE-2021

This is a repository for Dravidian-Code-mix-FIRE 2021 competition for our team. Task of this project is a message-level polarity classification task. Given a comment, systems have to classify it into positive, negative, neutral, mixed emotions, or not in the intended languages.

SRJ00/News-Headline-Classifier

The News Headline Classifier can Predict the Category of the news headline

tripathiGithub/toxic_comments_classifier

Demo Web App to identify toxic comments

MartinKalema/Swahili-News-Classifier

ULMFiT Model that classifies swahili news articles