shehbaztariq Goto Github PK

aipnd_image_classifier_project

Developing an AI application

build-nanogpt

Video+code lecture on building nanoGPT from scratch

deep-learning-with-pytorch-lightning

Getting Started with PyTorch Lightning, Published by Packt

deepjscc-feedback

Joint Source-Channel Coding of Images With Feedback

drawio-libs

Collection of images, libraries, shapes to use with the https://drawl.io application

efficient-capsnet

Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".

harmonic-oscillator-pinn

Code accompanying my blog post: So, what is a physics-informed neural network?

ibm-quantum-challenge-2024

For IBM Quantum Challenge 2024 (5-14 June 2024)

ibm-quantum-challenge-fall-22

For IBM Quantum Fall Challenge 2022

imageclassifier-pretrained

KPITB Innova Scholarship 2022 - AI Programming with Python

lama_qaoa

latex-graphics-with-tikz

LaTeX graphics with TikZ, by Packt Publishing

latex_templates

A collection of useful LaTeX templates.

ng-video-lecture

oop_tutorial

psco

Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-deep-learning-1

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

pytorchtutorial

PyTorch Tutorials from YouTube channel

qcm23

qiskit-cert-workbook

Qiskit Certification exam preparation notebook

qiskit-certified-exam-workbook

This is the workbook I created while I was studying for the Qiskit Associate Developer exam. I hope this becomes useful to others as it was for me :)

qssl

Code for Quantum Self-Supervised Learning

quantum-multi-agent-reinforcement-learning

Quantum Multi-agent Reinforcement Learning (QMARL)

quantum-neural-network

For building quantum neural networks in Qiskit and integrating with PyTorch

sam-sc

scalable_quantum_tomography

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

semantic-communication-systems

pytorch implementation of "Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data"

st

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes