GitHub topics: ulmfit

Repositories

inspirehep/inspire-classifier

INSPIRE text classification microservice

Language: Python - Size: 244 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 4 - Forks: 9

amansrivastava17/embedding-as-service

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

Language: Python - Size: 1.93 MB - Last synced at: 11 days ago - Pushed at: about 2 years ago - Stars: 206 - Forks: 30

prrao87/tweet-stance-prediction

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

Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: 7 days ago - Pushed at: over 6 years ago - Stars: 106 - Forks: 57

Emrys-Hong/fastai_sequence_tagging

sequence tagging for NER for ULMFiT

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 20 - Forks: 6

adriacabeza/DeepCatalan

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

Language: Jupyter Notebook - Size: 461 KB - Last synced at: 29 days ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 0

MartinKalema/Swahili-News-Classifier

ULMFiT Model that classifies swahili news articles

Language: Jupyter Notebook - Size: 23.3 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

jfilter/ulmfit-for-german

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

Language: Jupyter Notebook - Size: 69.3 KB - Last synced at: 8 days ago - Pushed at: almost 5 years ago - Stars: 17 - Forks: 2

snail-fuji/trollblock-ulmfit-bpe

ULMFiT-based toxicity detection model for BPE tokenized russian texts.

Language: Jupyter Notebook - Size: 826 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

cedrickchee/ulmfit-multilingual Fork of n-waves/multifit

Temporary repository used for collaboration on application of for multiple languages.

Language: Jupyter Notebook - Size: 233 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

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

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

Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 4

nakshatrasinghh/Yahoo-Answers-Text-Classification

Text Classification using ULMFiT and BERT. Challenge solved for ML Fellowship program @Fellowship.ai

Language: Jupyter Notebook - Size: 889 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

parvathysarat/pretrained-lm-tasks

ULMFiT, BERT-QA

Language: Jupyter Notebook - Size: 2.54 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

tblock/thesis-data

Supplementary scripts and data for my thesis

Language: Python - Size: 2.52 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 1

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.

Language: Python - Size: 4.13 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 5

PracticingMan/chinese_ulmfit

中文ULMFiT 情感分析文本分类

Language: Python - Size: 2.87 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 249 - Forks: 39

Collinjia/NLP-Sentiment-Classification

Sentiment classification for restaurant reviews using Bag of Words and Ulmfit in fastai

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

n-waves/multifit

The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761

Language: Jupyter Notebook - Size: 1.43 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 281 - Forks: 56

prashantkh19/Disaster-Tweets-Classification

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

Language: Jupyter Notebook - Size: 64.5 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 1

jcblaisecruz02/Tagalog-BERT

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

Language: Python - Size: 31.3 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 0

jcblaisecruz02/awd-lstm

AWD-LSTM and ULMFiT reproduction from scratch

Language: Python - Size: 32.2 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 3

vondersam/sdgs_text_classifier

Multi-Label Text Classification with Transfer Learning

Language: Jupyter Notebook - Size: 698 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 15 - Forks: 1

simecek/Czech-ULMFiT

ULMFiT language model for Czech language

Language: Jupyter Notebook - Size: 710 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 2

artefactory/deploy-fastai-torchserve-aiplatform

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

Language: Python - Size: 240 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 1

1073521013/PSL-DL

Method Development for Predicting Protein Subcellular Localization Based on Deep Learning

Language: Python - Size: 27 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 1

aditya10/ULMFiT-fastai-text-classifier

Stack Overflow question tagging. Find the tutorial on Medium

Language: Jupyter Notebook - Size: 491 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 9

danjohnvelasco/Filipino-ULMFiT

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

Language: Jupyter Notebook - Size: 40 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 3

imadelh/NLP-news-classification

Train and deploy a News Classifier using language model (ULMFit) - Serverless container

Language: Python - Size: 108 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 74 - Forks: 15

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.

Language: Jupyter Notebook - Size: 68.6 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 26 - Forks: 4

ck37/toxic-comments-fastai-pytorch

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

Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 1

mohdahmad242/Hostile-Post-Detection-in-Hindi

Language: Jupyter Notebook - Size: 827 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

dhamvi01/Fast.ai-Text-Classification

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

adamshamsudeen/Vaaku2Vec

Language Modeling and Text Classification in Malayalam Language using ULMFiT

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 68 - Forks: 17

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.

Language: Jupyter Notebook - Size: 22.5 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0