cqdk

cqdk's Stars

• platonai/PulsarRPA

  Automate webpages at scale, scrape web data completely and accurately with high performance, distributed AI-RPA.

  Language:Kotlin743119

• tebelorg/RPA-Python

  Python package for doing RPA

  Language:Python4.8k663

• robotframework/robotframework

  Generic automation framework for acceptance testing and RPA

  Language:Python9.7k2.3k

• robocorp/rpaframework

  Collection of open-source libraries and tools for Robotic Process Automation (RPA), designed to be used with both Robot Framework and Python

  Language:Python1.1k219

• open-rpa/openrpa

  Free Open Source Enterprise Grade RPA

  Language:C#2.2k547

• mljar/mercury

  Convert Jupyter Notebooks to Web Apps

  Language:Python3.9k250

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python32.2k2.4k

• microsoft/lida

  Automatic Generation of Visualizations and Infographics using Large Language Models

  Language:Jupyter Notebook2.7k286

• arx-deidentifier/arx

  ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.

  Language:Java620213

• realrolfje/anonimatron

  Anonimatron. Providing GDPR compliance since 2010.

  Language:Java10347

• adempiere/adempiere

  ADempiere Business Suite ERP/CRM/MFG/SCM/POS done the Bazaar way in an open and unabated fashion. Focus is on the Community that includes Subject Matter Specialists, Implementors and End-Users.

  Language:Java805769

• jagjot2008/EeazyCRM

  Open Source CRM based on Python's Flask framework

  Language:Python11346

• frappe/erpnext

  Free and Open Source Enterprise Resource Planning (ERP)

  Language:Python20.3k7.1k

• geekan/MetaGPT

  🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

  Language:Python43.6k5.2k

• promptslab/Awesome-Prompt-Engineering

  This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

  Language:Python3.7k335

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML111k15.1k

• phodal/prompt-patterns

  Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt

  2.9k199

• mattnigh/ChatGPT3-Free-Prompt-List

  A free guide for learning to create ChatGPT3 Prompts

  Language:Ruby2.1k160

• AAhadNur/CRM-Project

  Experience the next level of customer relationship management with my Django CRM project. Efficiently track interactions, manage leads, and gain insights from data analytics. Personalize customer experiences, streamline workflows, and make data-driven decisions. Elevate your business with this advanced CRM system!

  Language:Python1

• Wambui-123/CRM

  A CRM(Customer relationship management) system created to confirm that business communication with consumers goes smoothly and efficiently. The application is to be used by a company to monitor their roles. Leads will be updated and Agents are given the role to the leads listed.

  Language:Python1

• benie254/LeadsAPI

  Backend logic for a leads management system

  Language:Python51

• james-tn/chatgpt_business_analysis_assistant

  Automating Advanced Business Analytics with ChatGPT

  Language:Python5516

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.4k25.3k

• ekzhu/datasketch

  MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

  Language:Python2.5k294

• thejat/scalable-data-driven-assortment-planning

  Code accompanying paper titled "Optimizing Revenue over Data-driven Assortments" (2021)

  Language:Python228

• benfred/implicit

  Fast Python Collaborative Filtering for Implicit Feedback Datasets

  Language:Python3.5k607

• gasteigerjo/ppnp

  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

  Language:Jupyter Notebook31754

• ZaydH/arbitrary_pu

  NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"

  Language:Python144

• xalapao/MiningPerceptions

  Based on Culotta and Cutler (2016) "Mining Brand Perceptions from Twitter Social Networks", Marketing Science

  Language:HTML1

• rafa-rod/pytrendseries

  Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.

  Language:Python11516