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

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

End-to-end ASR/LM implementation with PyTorch

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

PyTorch Implementation of OpenAI GPT-2

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

A curated list of pretrained sentence and word embedding models

NLP made easy

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

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

ConvAI baseline solution

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

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

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

Pre-Trained Models for ToD-BERT

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

Data-centric declarative deep learning framework

Lingvo

A Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)

Deep Learning Transformer models in MATLAB

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

Neural question generation using transformers

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Sequence to sequence learning using TensorFlow.

Electra pre-trained model using Vietnamese corpus

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

This Word Does Not Exist

Mapping a variable-length sentence to a fixed-length vector using BERT model

Compendium of the resources available from top NLP conferences.

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

This repo contains implementation of different architectures for emotion recognition in conversations.

Character-based word embeddings model based on RNN for handling real world texts

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

State of the Art Natural Language Processing

package lingo provides the data structures and algorithms required for natural language processing

A Robustly Optimized BERT Pretraining Approach for Vietnamese

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

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

Label data using HuggingFace's transformers and automatically get a prediction service

An Open-Source Framework for Prompt-Learning.

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

Presenting Collection of Pretrained Models. Links to pretrained models in NLP and voice.

Google AI 2018 BERT pytorch implementation

Natural Language Processing Best Practices & Examples

Natural Language Processing Tutorial for Deep Learning Researchers

A Python wrapper for Kaldi

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

List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.

Trax — Deep Learning with Clear Code and Speed

Keras implementation of BERT with pre-trained weights

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

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

Underthesea - Vietnamese NLP Toolkit

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

TensorFlow code and pre-trained models for BERT

🚁 保险行业语料库，聊天机器人

Cornell Instruction Following Framework