1996 Open source projects that are alternatives of or similar to Transformers

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

NLP library designed for reproducible experimentation management

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Language, Knowledge, Cognition

NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

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

Named Entity Recognition

👄 The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike

Open tools and data for cloudless automatic speech recognition

Русскоязычный чатбот

BERT for Multitask Learning

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

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

An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.

Sequence-to-Sequence Framework in PyTorch

On-device speech-to-intent engine powered by deep learning

DELTA is a deep learning based natural language and speech processing platform.

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

Minimalist NMT for educational purposes

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

💫 Industrial-strength Natural Language Processing (NLP) in Python

NLP Paper

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话

an open-source implementation of sequence-to-sequence based speech processing engine

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

The implementation of DeBERTa

text generation based on transformer

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

Official Repository for 'Practical Natural Language Processing' by O'Reilly Media

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

Thai Natural Language Processing in Python.

transformer for ASR-systerm (via tensorflow2.0)

My Reading Lists of Deep Learning and Natural Language Processing

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

Trax — Deep Learning with Clear Code and Speed

TensorFlow code and pre-trained models for BERT

Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.

Keras implementation of BERT with pre-trained weights

A Python wrapper for Kaldi

🚁 保险行业语料库，聊天机器人

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

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

Self-contained Machine Learning and Natural Language Processing library in Go

Cornell Instruction Following Framework

使用 RASA NLU 来构建中文自然语言理解系统（NLU）| Use RASA NLU to build a Chinese Natural Language Understanding System (NLU)

Paraphrase Generation model using pair-wise discriminator loss

Pre-trained Mongolian BERT models

Models and Pipelines for the Spark NLP library

Machine Reading Comprehension in Tensorflow

💫 Automated codification of Greek Legislation with NLP

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