1114 Open source projects that are alternatives of or similar to Keras Transformer

TensorFlow implementation of 'Attention Is All You Need (2017. 6)'

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

BatchEncoder is an audio files conversion software.

C++ Reed Solomon Error Correcting Library https://www.schifra.com

🍪 Flask Session Cookie Decoder/Encoder

Julia Implementation of Transformer models

Logisim Italian Fork

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

An OpenType font format encoder & decoder written in OCaml

Library for manipulating Morse code text and sound. Understands prosigns and Farnsworth speed. Can create WAV files and analyse input from the microphone or audio files.

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Natural Language Processing Tutorial for Deep Learning Researchers

A high performance JSON library in Swift

BertQA - Attention on Steroids

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

📼 A high performance .NET library for reading and creating animated GIFs

2018-JDDC大赛第4名的解决方案

A pure Rust PNG image decoder and encoder based on lodepng.

🖼A full-featured PNG decoder and encoder.

A quick online tool to abi-encode and abi-decode constructor arguments used in ethereum's solidity. https://adibas03.github.io/online-ethereum-abi-encoder-decoder/

nlp lecture-notes and source code

Audio support for Go language.

📦 Turn your text files into codified images or your codified images into text files.

Battle tested aiff decoder/encoder

Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].

list of efficient attention modules

Multi-turn dialogue baselines written in PyTorch

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

A TensorFlow Implementation of the Transformer: Attention Is All You Need

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Implementation of Opus encoder and decoder in C++ for android with JNI

Fine-grained Sentiment Analysis of User Reviews --- AI CHALLENGER 2018

pytorch implementation of Attention is all you need

Ruby Marshal 4.8 encoder/decoder in Golang. Why? Who knows.

End-to-end ASR/LM implementation with PyTorch

A tiny Rust framework for implementing encoders/decoders of byte-oriented protocols

Package logfmt marshals and unmarshals logfmt messages.

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

Pure JavaScript toolkit for data URLs (MessagePack, Base58 and Base62)

Predict materials properties using only the composition information!

A Go (golang) implementation of Java KeyStore encoder/decoder

A robust HTML entity encoder/decoder written in JavaScript.

A Go library for encoding and decoding SMSs

a collection of visualization function

NLP: Relation extraction with position-aware self-attention transformer

A fast and lightweight decoder for x86 and x86-64 and encoder for x86-64.

A PyTorch Implementation of "Attention Is All You Need"

Implementation of State-of-the-art Text Classification Models in Pytorch

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

Sequence to Sequence Models in PyTorch

Noise removal from images using Convolutional autoencoder

Summary of Transformer applications for computer vision tasks.

a simple and complete pytorch implementation of neural machine translation system