guillaume-chevalier / SGNN-Self-Governing-Neural-Networks-Projection-LayerLinks
Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105
☆22Updated 3 years ago
Alternatives and similar repositories for SGNN-Self-Governing-Neural-Networks-Projection-Layer
Users that are interested in SGNN-Self-Governing-Neural-Networks-Projection-Layer are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.☆38Updated 7 years ago
- ☆14Updated 6 years ago
- Adaptive Softmax implementation for PyTorch☆81Updated 6 years ago
- Sparse and structured neural attention mechanisms☆225Updated 5 years ago
- Implementation of ULMFit algorithm for text classification via transfer learning☆94Updated 6 years ago
- PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset☆123Updated 6 years ago
- Machine-generated summaries and highlights of the every accepted paper at Thirty-second Conference on Neural Information Processing Syste…☆71Updated 7 years ago
- ☆65Updated 5 years ago
- Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.☆95Updated last year
- Training Transformer-XL on 128 GPUs☆141Updated 5 years ago
- learning to search in pytorch☆110Updated 5 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 8 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆44Updated 6 years ago
- Configure Python functions explicitly and safely☆128Updated last year
- Code for EMNLP 2018 paper "Auto-Encoding Dictionary Definitions into Consistent Word Embeddings"☆36Updated 7 years ago
- a Pytorch implementation of the Reformer Network (https://openreview.net/pdf?id=rkgNKkHtvB)☆53Updated 3 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 7 years ago
- ☆66Updated 3 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- Code repo for "Transformer on a Diet" paper☆31Updated 5 years ago
- ☆42Updated 7 years ago
- Python package for understanding the difficulty of text classification datasets. (in CoNNL 2018)☆64Updated 4 years ago
- Boolean Question Answering with multi-task learning and uses large LM embeddings like BERT, RoBERTa☆18Updated 6 years ago
- Code for the Eager Translation Model from the paper You May Not Need Attention☆295Updated 7 years ago
- Corrupted labels and label smoothing☆129Updated 8 years ago
- Implementation of the LAMB optimizer for Keras from the paper "Reducing BERT Pre-Training Time from 3 Days to 76 Minutes"☆75Updated 6 years ago
- NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting☆110Updated 5 years ago
- ☆63Updated 8 years ago
- Dynamic evaluation for pytorch language models, now includes hyperparameter tuning☆104Updated 8 years ago
- Code for "Smaller Text Classifiers with Discriminative Cluster Embeddings" (NAACL 2018)☆29Updated 7 years ago