titu1994 / tf-sha-rnn
Tensorflow port implementation of Single Headed Attention RNN
☆16Updated 5 years ago
Alternatives and similar repositories for tf-sha-rnn:
Users that are interested in tf-sha-rnn are comparing it to the libraries listed below
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆14Updated 4 years ago
- GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition☆31Updated 3 years ago
- Official library of images for the SIGIR 2019 Open-Source IR Replicability Challenge (OSIRRC 2019)☆13Updated 5 years ago
- Model for learning document embeddings along with their uncertainties☆35Updated last year
- ☆12Updated 6 years ago
- Python package for graph statistics☆9Updated 4 years ago
- Tutorial for Multi-Stakeholder Recommender Systems☆22Updated 3 years ago
- hierarchical convolutional attention networks for text classification☆16Updated 5 years ago
- Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms☆14Updated 2 years ago
- A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 5 years ago
- Large Scale BERT Distillation☆32Updated 2 years ago
- SNAIL Attention Block for Keras.☆16Updated 5 years ago
- Graph clustering and Node embeddings with word2vec☆13Updated 6 years ago
- ☆26Updated 5 years ago
- Density Order Embeddings☆33Updated 5 years ago
- Layerwise Relevance Visualization in Convolutional Text Graph Classifiers☆12Updated 3 years ago
- Training scripts for paper Miceli Barone et al. 2017 "Deep Architectures for Neural Machine Translation"☆11Updated 7 years ago
- Code for Paper "Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition"☆21Updated 2 years ago
- An offline evaluation framework for sequence-based recommender systems☆13Updated 5 years ago
- ☆16Updated 5 years ago
- Automatically modelling and distilling knowledge within AI. In other words, summarising the AI research firehose.☆23Updated 6 years ago
- code for our IJCAI 2018 paper : "Lifelong Domain Word Embedding via Meta-Learning"☆11Updated 6 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Interpretable Models for NLP using PyTorch☆18Updated 7 years ago
- Multitask Learning with Pretrained Transformers☆40Updated 4 years ago
- ☆10Updated 4 years ago
- NER System Developed at CMU☆11Updated 7 years ago
- A Pytorch implementation of "Deep Learning with Logged Bandit Feedback"☆10Updated 6 years ago
- PyTorch Flexible Hash Embeddings☆28Updated 5 years ago
- ☆15Updated 4 years ago