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

中文ULMFiT 情感分析 文本分类

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

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

Language Modeling and Text Classification in Malayalam Language using ULMFiT

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.

sequence tagging for NER for ULMFiT

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

Multi-Label Text Classification with Transfer Learning

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

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 Word2…

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

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

Stack Overflow question tagging. Find the tutorial on Medium

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

Supplementary scripts and data for my thesis

ULMFiT language model for Czech language

INSPIRE text classification microservice

Method Development for Predicting Protein Subcellular Localization Based on Deep Learning

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