Whiax / BERT-Transformer-PytorchLinks
Basic implementation of BERT and Transformer in Pytorch in one short python file (also includes "predict next word" GPT task)
☆45Updated 2 years ago
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 5 years ago
- PyTorch implementation of the Word2Vec (Skip-Gram Model) and visualizing the trained embeddings using TSNE☆54Updated 5 years ago
- ☆64Updated 5 years ago
- Minimal implementation of Multi-layer Recurrent Neural Networks (LSTM) for character-level language modelling in PyTorch☆49Updated 6 years ago
- RNN Encoder-Decoder in PyTorch☆45Updated last year
- A library for making Transformer Variational Autoencoders. (Extends the Huggingface/transformers library.)☆146Updated 4 years ago
- A small repo showing how to easily use BERT (or other transformers) for inference☆99Updated 6 years ago
- An implementation of masked language modeling for Pytorch, made as concise and simple as possible☆181Updated 2 years ago
- Some notebooks for NLP☆207Updated 2 years ago
- Code for "Finetuning Pretrained Transformers into Variational Autoencoders"☆40Updated 3 years ago
- Language Modeling Example with Transformers and PyTorch Lighting☆65Updated 5 years ago
- A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch☆235Updated 2 years ago
- MinT: Minimal Transformer Library and Tutorials☆260Updated 3 years ago
- ☆46Updated 5 years ago
- A repository containing the code for the Bistable Recurrent Cell☆47Updated 5 years ago
- Code for the paper "A Stable Variational Autoencoder for Text Modelling"☆26Updated 5 years ago
- Tensorflow implementation of a linear attention architecture☆44Updated 4 years ago
- Implementation of the GBST block from the Charformer paper, in Pytorch☆118Updated 4 years ago
- Deep Learning for Natural Language Processing - Lectures 2023☆171Updated last year
- Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."☆132Updated 4 years ago
- A PyTorch implementation of the Transformer model from "Attention Is All You Need".☆60Updated 6 years ago
- Simple illustrative examples for energy-based models in PyTorch☆68Updated 5 years ago
- Enabling easy statistical significance testing for deep neural networks.☆339Updated last year
- Pytorch implementation of bistable recurrent cell with baseline comparisons.☆25Updated 2 years ago
- ☆76Updated 5 years ago
- Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning☆167Updated last year
- diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.☆82Updated 2 years ago
- Minimalist BERT implementation assignment for CS11-711☆83Updated 3 years ago
- Visualising the Transformer encoder☆111Updated 5 years ago
- Main repository for "CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters"☆199Updated 2 years ago