parvanehyaghoubi

parvanehyaghoubi's Stars

• AryaKoureshi/Brain-tumor-detection

  Implementation of medical image segmentation and deep learning framework with CNN and U-net

  Language:Jupyter Notebook6310

• SharifiZarchi/Introduction_to_Machine_Learning

  Machine Learning Course, Sharif University of Technology

  Language:Jupyter Notebook1.5k261

• farzadasgari/collection

  A responsive web template featuring an interactive chat interface, user comment section, and app download buttons. Built with HTML, CSS, and JavaScript for a clean, user-friendly experience.

  Language:HTML61

• farzadasgari/chatpy

  Simple Python-based chatbot using NLP for intent recognition. Features a user-friendly GUI built with Tkinter. Handles basic conversations like greetings, farewells, and FAQs. Easily customizable intents and responses. Ideal for learning or small projects.

  Language:Python8

• McGill-NLP/medal

  Large medical text dataset curated for abbreviation disambiguation, designed for natural language understanding pre-training in the medical domain

  Language:Python25041

• farzadasgari/NLPy

  Language:Jupyter Notebook9

• nargesyaghoubi/Deep_Learning_Jupyter_Notebook

  Language:Jupyter Notebook1

• farzadasgari/machinepy

  A comprehensive Machine Learning course, guiding beginners to build and train machine learning models. It includes Jupyter Notebooks, exercises, and resources for a structured learning experience. (Work in Progress!)

  Language:Jupyter Notebook11

• kexinhuang12345/clinicalBERT

  ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

  Language:Jupyter Notebook386100

• farzadasgari/proadv

  ProADV is a Python package designed for efficient processing and analysis of acoustic Doppler velocimeter (ADV) data. It offers advanced cleaning algorithms for robust despiking and noise removal, comprehensive statistical functions for calculating essential measures, and further analysis capabilities.

  Language:Python149

• farzadasgari/github-together

  A comprehensive guide to collaborating effectively on GitHub projects, covering workflows, best practices, and tips for a smooth and productive experience.

  9

• farzadasgari/CodeSkillz

  CodeSkillz is a web application designed to help users improve their programming skills through interactive coding challenges and assessments. Users can practice coding in various programming languages, submit their solutions, and receive instant feedback on their performance.

  Language:CSS128

• farzadasgari/TaskPyTrack

  TaskPyTrack is a powerful task management tool built on Django. It simplifies task creation, tracking, and management, allowing you to set deadlines, mark completion, and upload files alongside task details. With an intuitive interface and data persistence, TaskPyTrack enhances workflow efficiency. Contributions are appreciated!

  Language:JavaScript104

• farzadasgari/PDFPyMerger

  PDFPyMerger is a Python app merging PDFs with a GUI via PyQt5. It offers password protection, customizable merging, and cross-platform compatibility. Easy install and intuitive usage make it efficient. Contributions welcome!

  Language:Python137

• farzadasgari/TXTtoPDF

  TXTtoPDF is a user-friendly text editor made with Electron and Quill.js. It offers rich text editing, PDF conversion, and cross-platform compatibility. Contributions are encouraged!

  Language:HTML103

• marekjm/issue

  Simple, distributed, command-line issue tracker

  Language:Python716

• bigscience-workshop/biomedical

  Tools for curating biomedical training data for large-scale language modeling

  Language:Python461116