mahdipira Goto Github PK

followers: 10.0 following: 0.0 repos: 52.0 gists: 6.0

Name: PIRAHANDEH

Type: User

Company: Inha University

Bio: A dedicated principal investigator, developer and lecturer

Location: Incheon

Blog: http://www.linkedin.com/in/mehdipirahandeh

PIRAHANDEH's Projects

30-days-of-python

30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.

365-days-computer-vision-learning-linkedin-post

365 Days Computer Vision Learning Linkedin Post

augmented-reality-webcam

Augmented Reality using OpenCV live using a webcam demo. Draw a cube on top all the April-tags in the given frame. Camera calibration code is included.

awesome-notebooks

+100 awesome Jupyter Notebooks templates, organized by tools, published by the Naas community, to kickstart your data projects in minutes. 😎

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

best-readme-template

An awesome README template to jumpstart your projects!

book

A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.

byte-of-python

Beginners book on Python - start here if you don't know programming

coding-problems

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

communitynet

Hierarchical GNN for network datasets with community structure

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

coreos-kubernetes

CoreOS Container Linux+Kubernetes documentation & Vagrant installers

create-react-app

Set up a modern web app by running one command.

d2l-en-2023

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.