AlexGidiotis / Advanced-ML-techniquesLinks
This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imbalance.
☆18Updated 7 years ago
Alternatives and similar repositories for Advanced-ML-techniques
Users that are interested in Advanced-ML-techniques are comparing it to the libraries listed below
Sorting:
- Implementation of our SIGIR 2017 paper : "Multitask Learning for Fine-Grained Twitter Sentiment Analysis"☆10Updated 7 years ago
- An Attention Layer in Keras☆43Updated 6 years ago
- Tensorflow implementation of multi-task learning for language modeling and text classification.☆31Updated 3 years ago
- Use transfer learning for Text_classification with BERT.☆21Updated 3 years ago
- Concatenate word and character embeddings in Keras☆45Updated 3 years ago
- A bidirectional LSTM with attention for multiclass/multilabel text classification.☆173Updated last year
- A Python implementation of a binary text classifier using Doc2Vec and SVM☆16Updated 8 years ago
- top 1% solution to toxic comment classification challenge on Kaggle.☆191Updated 6 years ago
- Implement of paper Self-Taught Convolutional Neural Networks for Short Text Clustering using Keras.☆46Updated 7 years ago
- Re-implementation of ELMo on Keras☆135Updated 2 years ago
- Keras and Tensorflow implementation of Siamese Recurrent Architectures for Learning Sentence Similarity☆48Updated 6 years ago
- This is a drop-in Keras layer for ELMo embeddings.☆47Updated 6 years ago
- Sequence to Sequence and attention from scratch using Tensorflow☆29Updated 8 years ago
- Cost-Sensitive Multi-Label Classification☆19Updated 8 years ago
- Hierarchical Attention Networks for Document Classification in Keras☆78Updated 7 years ago
- Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers - paper's code for the 9th Workshop on Computat…☆53Updated 6 years ago
- Comparing Text Classification results using BERT embedding and ULMFIT embedding☆65Updated 6 years ago
- Experiments on how to use machine learning to rank a product catalog☆83Updated 8 years ago
- Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)☆82Updated 3 years ago
- Using pre trained word embeddings (Fasttext, Word2Vec)☆158Updated 7 years ago
- Kaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations☆36Updated 6 years ago
- Position embedding layers in Keras☆58Updated 3 years ago
- Contains an implementation of the attention mechanism and a keras text classifier wrapper.☆29Updated 7 years ago
- TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"☆87Updated 6 years ago
- Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"☆180Updated 6 years ago
- [ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.☆63Updated 6 years ago
- Pytorch implementation of the paper Deep learning for extreme multi-label text classification☆64Updated last year
- ☆31Updated 7 years ago
- Universal Language Model Fine-tuning for Text Classification in Hebew, plus bunus☆15Updated 5 years ago
- *SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach☆21Updated 7 years ago