gshan4056 Goto Github PK

mrfn

Tensorflow implementation for MRFN in Retrieval-based Chatbots

neuralspeech

TTS语音合成

nlp-interview-notes

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。

nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

nlp_paper_study

研读顶会论文，复现论文相关代码

nlper-interview

该仓库主要记录 NLP 算法工程师相关的面试题

nlprule

Rule-based grammatical error correction through parsing LanguageTool rules in Rust w/ bindings for Python.

nuwa

A unified 3D Transformer Pipeline for visual synthesis

opencv_projects

Opencv项目实战

pplm

可控文本生成Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-lesson-zh

pytorch 包教不包会

pytorch-soft-masked-bert

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

read_bert_code

Bert源码阅读与讲解(Pytorch版本)-以BERT文本分类代码为例子

sentence-transformers

Sentence Embeddings with BERT & XLNet

smoothnlp

专注于可解释的NLP技术 An NLP Toolset With A Focus on Explainable Inference

spark

speaker-recognition-based-on-deep-learning-an-overview

This repo is to list the references papers of 《Speaker Recognition Based on Deep Learning: An Overview》

speechalgorithms

语音领域基础 Speech Algorithms Collections

speechbrain

A PyTorch-based Speech Toolkit

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

ssl_text_classification

Semi Supervised Learning for Text-Classification

synthchinese

中文文本合成 for OCR

textfooler

A Model for Natural Language Attack on Text Classification and Inference

textgenerator

OCR dataset Text-Detection dataset Font-Classification dataset generator

topicshare

NLP综述相关资料

tplinker-joint-extraction

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.