523 Open source projects that are alternatives of or similar to Distre

Relation Extraction 中文关系提取

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

This repository for Web Crawling, Information Extraction, and Knowledge Graph build up.

A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)

A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models

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

REx: Relation Extraction. Modernized re-write of the code in the master's thesis: "Relation Extraction using Distant Supervision, SVMs, and Probabalistic First-Order Logic"

A Large-Scale Few-Shot Relation Extraction Dataset

Electra pre-trained model using Vietnamese corpus

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

Witwicky: An implementation of Transformer in PyTorch.

LightSeq: A High Performance Inference Library for Sequence Processing and Generation

An OSINT tool to gather information about the real owner of a phone number

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang

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

微信、bilibili大图、长图、gif、视频、自定义view的转场效果，The transition effect of wechat, bilibili large image, long image, GIF, video and custom view

Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

A tiny utility library that makes the Figma API more human friendly.

Google AI 2018 BERT pytorch implementation

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"

Zero-shot Transfer Learning from English to Arabic

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

GPT-2 French demo | Démo française de GPT-2

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Repository for ODSC talk related to Deep Learning NLP

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

Natural Language Processing Tutorial for Deep Learning Researchers

Chinese version of GPT2 training code, using BERT tokenizer.

Must-read papers on neural relation extraction (NRE)

PHP ETL (Extract / Transform / Load) library with SOLID principles + almost no dependency.

Semantic annotator: Matching CSV to a Wikibase instance (e.g., Wikidata) via Meta-lookup

Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

Abstractive summarisation using Bert as encoder and Transformer Decoder

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Keras implementation of BERT with pre-trained weights

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

PyTorch Implementation of OpenAI GPT-2

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

Snips Python library to extract meaning from text

End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

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

Information gathering & website reconnaissance | https://phishstats.info/

基于Pytorch和torchtext的自然语言处理深度学习框架。

PageTransformer for flutter

Presento - Transformer & Presenter Package for PHP

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.

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

研读顶会论文，复现论文相关代码

📘 A comprehensive handbook on how to create transformers for TypeScript with code examples

TypeScript transformer for improving the debugging experience of styled-components

building a chinese dialogue system based on the newest version of rasa(基于最新版本rasa搭建的对话系统)

A python package to run contextualized topic modeling. CTMs combine BERT with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.

MoEL: Mixture of Empathetic Listeners

Trax — Deep Learning with Clear Code and Speed

✍🏻 gpt2-client: Easy-to-use TensorFlow Wrapper for GPT-2 117M, 345M, 774M, and 1.5B Transformer Models 🤖 📝

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