gabrielloye / Attention_Seq2seq-Translation
☆35Updated 4 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
- Implementation of Differential Learning Rate in Keras☆11Updated 5 years ago
- Pytorch implementation of Dauphin et al. (2016) "Language Modeling with Gated Convolutional Networks"☆29Updated 2 years ago
- Large Scale BERT Distillation☆32Updated 2 years ago
- Minimalistic TensorFlow2+ deep metric/similarity learning library with loss functions, miners, and utils as embedding projector.☆37Updated 2 years ago
- A very naive and simple benchmark between dlib and pytorch in terms of space and time☆19Updated 4 years ago
- Repository for group 17 on the Statistical Natural Language Processing module at UCL☆22Updated 3 years ago
- Attention based sequence to sequence neural machine translation model built in keras.☆30Updated 6 years ago
- Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization☆13Updated 2 years ago
- Neural Machine Translation with Attention (PyTorch)☆45Updated 6 years ago
- Implementing activation functions from scratch in Tensorflow.☆36Updated 3 years ago
- Converting EfficientNet to Pytorch for use with fastai☆27Updated 5 years ago
- A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith☆11Updated 6 years ago
- Transformer block in tf.keras similar to PyTorch's nn.Transformer block.☆9Updated 4 years ago
- Collection of models and extensions for deployment in PyTorch☆24Updated 2 years ago
- Few shot learning in NLP☆11Updated 4 years ago
- ANN Search through the COVID CORD-19 Dataset using SBERT.☆25Updated 4 years ago
- Exploring learning rates to improve model performance☆19Updated 5 years ago
- Keras implementation of NovoGrad☆20Updated 4 years ago
- implements various optimizers from scratch for analysis and comparison☆9Updated 4 years ago
- A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…☆47Updated last year
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- A simple implementation of a deep linear Pytorch module☆19Updated 4 years ago
- hierarchical convolutional attention networks for text classification☆16Updated 5 years ago
- ☆17Updated 4 years ago
- Visualising what each LSTM cell learns from data.☆24Updated 5 years ago
- Radam+lookahead implemented by tensorflow☆11Updated 5 years ago
- Speeech Recognition for Indic languages.☆12Updated 3 years ago
- Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch☆45Updated 4 years ago
- Pruning applied to Facial Recognition.☆15Updated 5 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 4 years ago