1080 Open source projects that are alternatives of or similar to Hardware Aware Transformers

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Minimalist NMT for educational purposes

Code for the collection and analysis of the MTNT dataset

Multimodal model for text and tabular data with HuggingFace transformers as building block for text data

Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

A Fast Neural Machine Translation System. It is developed in C++ and resorts to NiuTensor for fast tensor APIs.

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

PyTorch Implementation of OpenAI GPT-2

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Fast and customizable text tokenization library with BPE and SentencePiece support

Source code and data for the paper "Towards String-to-Tree Neural Machine Translation"

Natural Language Processing Tutorial for Deep Learning Researchers

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

Repository for Project Insight: NLP as a Service

Build English-Vietnamese machine translation with ProtonX Transformer. :D

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Code for Synchronous Bidirectional Neural Machine Translation (SB-NMT)

Witwicky: An implementation of Transformer in PyTorch.

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

A Neural Framework for MT Evaluation

Multilingual word vectors in 78 languages

Open neural machine translation models and web services

Tracking the progress in non-autoregressive generation (translation, transcription, etc.)

Neural Machine Translation with Keras

State of the Art Natural Language Processing

ByteNet for character-level language modelling

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

Neural question generation using transformers

Thot toolkit for statistical machine translation

Electra pre-trained model using Vietnamese corpus

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

An overview of the AI-as-a-service landscape

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

Neural machine translation and sequence learning using TensorFlow

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Transformers without Tears: Improving the Normalization of Self-Attention

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

Julia Implementation of Transformer models

Transformer for Graph Classification (Pytorch and Tensorflow)

中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁 自然语言处理

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

A PyTorch implementation of GraphRel

Lingvo

Word Embeddings for Information Retrieval

Jupyter Notebooks with Deep Learning Tutorials

Neural Models for Conversational AI

Korean spellchecking dictionary for Hunspell

Implementation of character based convolutional neural network

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

A collaborative collection of open-source safe GPT-3 prompts that work well

Builds wordpiece(subword) vocabulary compatible for Google Research's BERT

深度有趣

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

DGMs for NLP. A roadmap.

NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT

Machine-Translation-based sentence alignment tool for parallel text

Korean HateSpeech Dataset