Whiax / BERT-Transformer-PytorchLinks
Basic implementation of BERT and Transformer in Pytorch in one short python file (also includes "predict next word" GPT task)
☆42Updated last year
Alternatives and similar repositories for BERT-Transformer-Pytorch
Users that are interested in BERT-Transformer-Pytorch are comparing it to the libraries listed below
Sorting:
- Checkout the new version at the link!☆22Updated 4 years ago
- An implementation of masked language modeling for Pytorch, made as concise and simple as possible☆179Updated 2 years ago
- Minimal implementation of Multi-layer Recurrent Neural Networks (LSTM) for character-level language modelling in PyTorch☆48Updated 6 years ago
- ☆64Updated 5 years ago
- A library for making Transformer Variational Autoencoders. (Extends the Huggingface/transformers library.)☆142Updated 4 years ago
- Code for "Finetuning Pretrained Transformers into Variational Autoencoders"☆39Updated 3 years ago
- Some notebooks for NLP☆207Updated last year
- PyTorch implementation of the Word2Vec (Skip-Gram Model) and visualizing the trained embeddings using TSNE☆53Updated 4 years ago
- Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning☆163Updated last year
- A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch☆228Updated 2 years ago
- Implementation of the GBST block from the Charformer paper, in Pytorch☆118Updated 4 years ago
- A small repo showing how to easily use BERT (or other transformers) for inference☆99Updated 5 years ago
- Implementation of Machine Learning algorithms from scratch in Python☆34Updated 6 years ago
- Tensorflow implementation of a linear attention architecture☆44Updated 4 years ago
- RNN Encoder-Decoder in PyTorch☆44Updated last year
- Main repository for "CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters"☆201Updated last year
- The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In or…☆65Updated 2 years ago
- PyTorch implementation of BERT in "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"☆107Updated 6 years ago
- Sequence to Sequence Models in PyTorch☆44Updated last year
- Implementation of ETSformer, state of the art time-series Transformer, in Pytorch☆153Updated last year
- A PyTorch implementation of the Transformer model from "Attention Is All You Need".☆59Updated 6 years ago
- Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."☆134Updated 3 years ago
- Enabling easy statistical significance testing for deep neural networks.☆336Updated last year
- ☆48Updated 2 years ago
- An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.☆134Updated 5 years ago
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.☆57Updated 3 years ago
- Accelerated NLP pipelines for fast inference on CPU. Built with Transformers and ONNX runtime.☆127Updated 4 years ago
- Language Modeling Example with Transformers and PyTorch Lighting☆65Updated 4 years ago
- Implementation of character based convolutional neural network☆261Updated 4 years ago
- MinT: Minimal Transformer Library and Tutorials☆256Updated 3 years ago