Danmo121

Danmo121's Stars

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML112k1.4k015.3k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python55.8k4561325.7k

• lencx/ChatGPT

  🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

  Language:Rust52.8k4481.1k5.9k

• lizongying/my-tv

  我的电视 电视直播软件，安装即可使用

  Language:C30.1k2138973.4k

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook16k385394.5k

• ocrmypdf/OCRmyPDF

  OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

  Language:Python14k1341.2k1k

• ymcui/Chinese-BERT-wwm

  Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

  Language:Python9.7k1442401.4k

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.4k283221.8k

• sktime/sktime

  A unified framework for machine learning with time series

  Language:Python7.9k1062.6k1.4k

• amusi/Deep-Learning-Interview-Book

  深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

  7.6k180111.3k

• DA-southampton/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

  Language:Python6.9k10551.2k

• NopeCHALLC/nopecha-extension

  Automated CAPTCHA solver for your browser. Works with Selenium, Puppeteer, Playwright, and more.

  Language:JavaScript6.8k136998

• MaartenGr/BERTopic

  Leveraging BERT and c-TF-IDF to create easily interpretable topics.

  Language:Python6.1k541.7k763

• euske/pdfminer

  Python PDF Parser (Not actively maintained). Check out pdfminer.six.

  Language:Python5.3k2202451.1k

• duoergun0729/nlp

  兜哥出品 <一本开源的NLP入门书籍>

  Language:Python2.3k845558

• NLP-LOVE/Introduction-NLP

  HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。

  Language:Python2.2k389548

• shibing624/python-tutorial

  Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。

  Language:Jupyter Notebook2k304403

• yuanxiaosc/Entity-Relation-Extraction

  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

  Language:Python1.2k2579272

• DengBoCong/nlp-paper

  自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

  Language:Python1.2k231185

• hertz-pj/BERT-BiLSTM-CRF-NER-pytorch

  Pytorch BERT-BiLSTM-CRF For NER

  Language:Python40263166

• taishan1994/BERT-BILSTM-CRF

  使用BERT-BILSTM-CRF进行中文命名实体识别。

  Language:Python32624542

• sex4096/haijiao_vip

  海角社区(haijiao.com | https://hjcx.cc ) - 解锁收费视频,VIP,去广告 油猴脚本

  Language:JavaScript2002832

• jason-r-becker/LIBS

  Analysis codes for Laser-Induced Breakdown Spectroscopy data

  Language:Python9016

• ysyBrenda/Transformer-For-Geochemical-Anomaly-Detection

  An end-to-end Transformer for geochemical anomaly detection

  Language:Python6

• a-z-e-r-i-l-a/LIBS

  Analysis tools regarding laser-induced-plasma breakdown-spectroscopy (LIBS) measurement system

  Language:Jupyter Notebook4104

• scottc99/LIBS_Parser

  Code for parsing and analysis of LIBS (laser induced breakdown spectroscopy) data

  Language:Python43

• whuyao/FCAE

  A Spatial-compositional Feature Fusion Convolutional Autoencoder for Multivariate Geochemical Anomaly Recognition

  Language:Python3200

• cbn001012/Geo-Hgan-Unsupervised-anomaly-detection-in-geochemical-data-via-latent-space-learning

  Geo-Hgan: Unsupervised anomaly detection in geochemical data via latent space learning

  Language:Python2200

• ZhangChunjieCUG/anomaly-detection

  geological guided adversarial learning model for anomaly detection

  Language:Python21

• yuukilight/DRSN_diffCBAM

  code of Quantitative analysis of multi-element in steel using laser induced breakdown spectroscopy based on deep learning(DRSN diffCBAM)

  Language:Jupyter Notebook1100