gabrielloye / Attention_Seq2seq-TranslationLinks
☆34Updated 5 years ago
Alternatives and similar repositories for Attention_Seq2seq-Translation
Users that are interested in Attention_Seq2seq-Translation are comparing it to the libraries listed below
Sorting:
- Minimalistic TensorFlow2+ deep metric/similarity learning library with loss functions, miners, and utils as embedding projector.☆38Updated 2 years ago
- Implementing activation functions from scratch in Tensorflow.☆36Updated 3 years ago
- Implementation of Rectified Adam in Keras☆70Updated 6 years ago
- Attention based sequence to sequence neural machine translation model built in keras.☆30Updated 7 years ago
- Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization☆12Updated 2 years ago
- Simple, fast web deployment for your PyTorch models☆69Updated 7 years ago
- Demonstrates knowledge distillation for image-based models in Keras.☆54Updated 4 years ago
- This repository contains notebooks showing how to perform mixed precision training in tf.keras 2.0☆12Updated 5 years ago
- Exploring learning rates to improve model performance☆19Updated 6 years ago
- Multi-class classification with focal loss for imbalanced datasets☆82Updated 6 years ago
- Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."☆133Updated 4 years ago
- ☆76Updated 5 years ago
- Yet another mini autodiff system for educational purposes☆30Updated last month
- Large Scale BERT Distillation☆33Updated 2 years ago
- Tensorflow NCE loss in Keras☆34Updated 7 years ago
- Keras implementation of NovoGrad☆20Updated 5 years ago
- A deep learning library based on Pytorch focussed on low resource language research and robustness☆70Updated 4 years ago
- Multi heads attention for image classification☆80Updated 7 years ago
- Presenting Collection of Pretrained Models. Links to pretrained models in NLP and voice.☆23Updated 5 years ago
- Collection of models and extensions for deployment in PyTorch☆24Updated 3 years ago
- Tensorflow port implementation of Single Headed Attention RNN☆16Updated 5 years ago
- Adversarial examples to the new ConvNeXt architecture☆20Updated 3 years ago
- Reproducing Character-Level-Language-Modeling with Deeper Self-Attention in PyTorch☆62Updated 6 years ago
- Learning rate multiplier☆46Updated 4 years ago
- Tutorial on Automated Machine Learning at KDD 2020☆55Updated 5 years ago
- Repository for group 17 on the Statistical Natural Language Processing module at UCL☆22Updated 4 years ago
- Repo for all files related to my Medium Posts☆90Updated 6 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 5 years ago
- Implementation of Differential Learning Rate in Keras☆11Updated 6 years ago
- Keras implementation of Global Context Attention blocks☆46Updated 6 years ago