gaobonan

gaobonan's Stars

• Nixtla/nixtla

  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  Language:Jupyter Notebook2.6k214

• wgh136/PicaComic

  A comic app built with Flutter, supporting multiple comic sources.

  Language:Dart8.1k953

• QData/spacetimeformer

  Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

  Language:Jupyter Notebook831193

• thuml/iTransformer

  Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

  Language:Python1.5k249

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python8.1k1.3k

• google-research/timesfm

  TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

  Language:Python4.4k402

• DataCanvasIO/DeepTables

  DeepTables: Deep-learning Toolkit for Tabular data

  Language:Python677119

• kingkimera/TFT-Data-Download

  A guide to using Riot Games API to download teamfight tactics data and format it from a JSON to a CSV

  Language:Python4

• HuichuanLI/Recommand-Algorithme

  推荐算法实战(Recommend algorithm)

  Language:Jupyter Notebook15627

• UFund-Me/Qbot

  [🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

  Language:Jupyter Notebook10.2k1.5k

• mljar/mercury

  Convert Jupyter Notebooks to Web Apps

  Language:Python4.1k261

• sai-krishna-msk/Customer_Analytics

  Customer Segmentation, RFM analysis and price elasticity

  Language:Jupyter Notebook178

• SooyeonWon/customer_analytics_fmcg

  Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity

  Language:Jupyter Notebook4218

• lhorrell99/tetriling-reassembly

  Solver for the Tetriling Reassembly Problem, written as part of DE2 Computing 2 (2019)

  Language:Python1

• charliedream1/ai_quant_trade

  股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

  Language:Jupyter Notebook1.8k389

• 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 Notebook2.1k417

• MorvanZhou/PyTorch-Tutorial

  Build your neural network easy and fast, 莫烦Python中文教学

  Language:Jupyter Notebook8.2k3.1k

• x4nth055/pythoncode-tutorials

  The Python Code Tutorials

  Language:Jupyter Notebook2.7k2k

• walter201230/Python

  最良心的 Python 教程：

  21.5k5.1k

• lancopku/text-autoaugment

  [EMNLP 2021] Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification

  Language:Python12716

• alisen39/TrWebOCR

  开源易用的中文离线OCR，识别率媲美大厂，并且提供了易用的web页面及web的接口，方便人类日常工作使用或者其他程序来调用~

  Language:Python2.7k604

• datawhalechina/joyful-pandas

  pandas中文教程

  Language:Jupyter Notebook4.8k1.9k

• yanqiangmiffy/NLP-Interview-Notes

  :books: 专门为自然语言处理(NLP)面试准备的学习笔记与资料

  Language:Jupyter Notebook34447

• positivepeng/2020-tianchi-ChMedNER

  2020 “万创杯”中医药天池大数据竞赛——中药说明书实体识别挑战 复盘

  3113

• kangyishuai/CHINESE-MEDICINE-QUESTION-GENERATION

  “万创杯”中医药天池大数据竞赛——中医文献问题生成挑战 决赛 第一名方案

  Language:Jupyter Notebook13231

• kiwirafe/xiangsi

  中文文本相似度计算器

  Language:Python13523

• weizhepei/CasRel

  [ACL 2020] A Novel Cascade Binary Tagging Framework for Relational Triple Extraction

  Language:Python779138

• lixi5338619/lxSpider

  爬虫案例合集。包括但不限于《淘宝、京东、天猫、豆瓣、抖音、快手、微博、微信、阿里、头条、pdd、优酷、爱奇艺、携程、12306、58、搜狐、各种指数、维普万方、Zlibraty、Oalib、小说、招标网、采购网、小红书、大众点评、推特、脉脉、知乎》

  Language:Python1.7k443

• Yinghao-Li/CHMM-ALT

  Code for "BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition"

  Language:Python328

• fitzgerald0/time_series_data_mining

  TensorFlow Probability；Time series model

  Language:Python12555