alexyalunin / transformer-autoencoderLinks
Autoencoder version on Transformer model using PyTorch
☆26Updated 6 years ago
Alternatives and similar repositories for transformer-autoencoder
Users that are interested in transformer-autoencoder are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆73Updated 3 years ago
- Transformer-based autoregressive varitional autoencoder☆11Updated 5 years ago
- A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.☆71Updated 3 years ago
- Code for "Finetuning Pretrained Transformers into Variational Autoencoders"☆40Updated 3 years ago
- PyTorch implementation of FNet: Mixing Tokens with Fourier transforms☆28Updated 4 years ago
- A PyTorch implementation of the Compact Multi-Head Self-Attention Mechanism from the paper: "Low Rank Factorization for Compact Multi-Hea…☆25Updated 5 years ago
- Code for the paper "Adaptive Transformers for Learning Multimodal Representations" (ACL SRW 2020)☆43Updated 3 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 6 years ago
- Official Code for Towards Transparent and Explainable Attention Models paper (ACL 2020)☆35Updated 3 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆153Updated 2 years ago
- Sequence to Sequence Models in PyTorch☆44Updated last year
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch☆78Updated 5 years ago
- ☆11Updated 4 years ago
- Learning to Encode Position for Transformer with Continuous Dynamical Model☆59Updated 5 years ago
- Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)☆29Updated 5 years ago
- Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."☆133Updated 4 years ago
- Codes for Category-aware Generative Adversarial Networks (AAAI 2020)☆19Updated 5 years ago
- The Implementation for the Paper "Time-Stamped Language Model: Teaching Language Models toUnderstand The Flow of Events"☆11Updated 4 years ago
- Visualization tool for interpreting NLP models☆36Updated 6 years ago
- “Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition” (EMNLP 2022)☆16Updated 2 years ago
- Transformer Variational Autoencoder experiment☆50Updated 6 years ago
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆70Updated 5 years ago
- Code for the paper "A Fully Hyperbolic Neural Model for Hierarchical Multi-class Classification"☆17Updated 5 years ago
- Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"☆70Updated 2 years ago
- TensorFlow implementation of the Dissimilarity Mixture Autoencoder: https://arxiv.org/abs/2006.08177☆13Updated 3 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆53Updated 2 years ago
- A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.☆35Updated 6 years ago
- Code release for "Time Series Anomaly Detection by Cumulative Radon Features"☆12Updated 3 years ago
- Implementation of paper "Learning to Encode Text as Human-Readable Summaries using GAN"☆65Updated 6 years ago