PacktPublishing / fastText-Quick-Start-Guide
fastText Quick Start Guide, published by Packt
☆49Updated 2 years ago
Alternatives and similar repositories for fastText-Quick-Start-Guide:
Users that are interested in fastText-Quick-Start-Guide are comparing it to the libraries listed below
- Transfer Learning for NLP Tasks☆55Updated 6 years ago
- Code for unsupervised aspect extraction, using Keras and its Backends☆91Updated last year
- Text Similarity Search Application using Modern NLP and Elasticsearch☆30Updated 5 years ago
- Changes the encoding of CoNLL-03 NER datasets from BIO to BIOLU☆7Updated 6 years ago
- Example showing generalisation☆69Updated 4 years ago
- A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.☆82Updated 6 years ago
- shabeelkandi / Handling-Out-of-Vocabulary-Words-in-Natural-Language-Processing-using-Language-Modelling☆69Updated 5 years ago
- Keras + Universal Sentence Encoder = Transfer Learning for text data☆33Updated 6 years ago
- A project on achieving Named-Entity Recognition using Deep Learning.☆25Updated 6 years ago
- Named entity recognizer based on ELMo or BERT as feature extractor and CRF as final classifier☆80Updated 2 years ago
- ☆15Updated 6 years ago
- The implementation of text classification using character level convoultion neural networks using Keras☆152Updated 2 years ago
- ☆35Updated 3 years ago
- Implementation of GloVe in Keras☆45Updated 2 years ago
- NLP tutorial☆42Updated 6 years ago
- A Keras version of Google's BERT model☆33Updated 5 years ago
- A simple Flask API for named entity extraction using spaCy Model☆47Updated 6 years ago
- An evaluation of word-embeddings for classification☆32Updated 6 years ago
- Visualize BERT's self-attention layers on text classification tasks☆47Updated 6 years ago
- 📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.☆26Updated 6 years ago
- Named Entity Recognition on CoNLL dataset using BiLSTM+CRF implemented with Pytorch☆41Updated 5 years ago
- CRF(Conditional Random Field) Layer for TensorFlow 1.X with many powerful functions☆14Updated 5 years ago
- Brown clustering in Python☆22Updated 7 years ago
- A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.☆96Updated 4 years ago
- code and supplementary materials for a series of Medium articles about the BERT model☆77Updated 2 years ago
- A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.☆84Updated 9 months ago
- Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019☆30Updated 6 years ago
- An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines☆109Updated 6 years ago
- 1. Pretrain Albert on custom corpus 2. Finetune the pretrained Albert model on downstream task☆33Updated 4 years ago
- A very simple, bare-bones, inefficient, implementation of skip-gram word2vec from scratch with Python☆103Updated 6 years ago