627 Open source projects that are alternatives of or similar to golgotha

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State of the Art Natural Language Processing

Trained T5 and T5-large model for creating keywords from text

Pytorch Implementation of GoEmotions 😍😢😱

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

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

Deep Learning Transformer models in MATLAB

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

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

An NLP system for generating reading comprehension questions

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Google AI 2018 BERT pytorch implementation

Natural Language Processing Tutorial for Deep Learning Researchers

Text Classification in Turkish Texts with Bert

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

Emotion recognition in conversation

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

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

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

莱斯杯：全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

XPersona: Evaluating Multilingual Personalized Chatbot

This repository contains code for the O'Reilly Live Online Training for BERT

This repository contains demos I made with the Transformers library by HuggingFace.

All NLP you Need Here. 个人实现了一些好玩的NLP demo，目前包含13个NLP应用的pytorch实现

Abstractive and Extractive Text summarization using Transformers.

A dockerized flask API, serving ALBERT and BERT predictions using TensorFlow 2.0.

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

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

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

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

A PyTorch-based toolkit for natural language processing

Text2Text: Cross-lingual natural language processing and generation toolkit

text generation based on transformer

State-of-the-art NLP through transformer models in a modular design and consistent APIs.

Bangla-Bert is a pretrained bert model for Bengali language

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

An Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统，一键部署微信闲聊机器人)

Super easy library for BERT based NLP models

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

SImple SenTence EmbeddeR

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

A Robustly Optimized BERT Pretraining Approach for Vietnamese

Transformer related optimization, including BERT, GPT

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Persian Bert For Long-Range Sequences

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

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

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

Anonymization of legal cases (Fr) based on Flair embeddings

Further developed as SyntaxDot: https://github.com/tensordot/syntaxdot

Code for the paper "Are Sixteen Heads Really Better than One?"

Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

KitanaQA: Adversarial training and data augmentation for neural question-answering models

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

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡