ShehbazTariq
I choose to be an engineer as I believe that engineers have a unique ability to touch the lives of millions of people through innovative technologies.
South Korea
Pinned Repositories
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
ShehbazTariq's Repositories
ShehbazTariq/AIPND_Image_classifier_project
Developing an AI application
ShehbazTariq/build-nanogpt
Video+code lecture on building nanoGPT from scratch
ShehbazTariq/Deep-Learning-with-PyTorch-Lightning
Getting Started with PyTorch Lightning, Published by Packt
ShehbazTariq/deepJSCC-feedback
Joint Source-Channel Coding of Images With Feedback
ShehbazTariq/Efficient-CapsNet
Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".
ShehbazTariq/harmonic-oscillator-pinn
Code accompanying my blog post: So, what is a physics-informed neural network?
ShehbazTariq/ibm-quantum-challenge-2024
For IBM Quantum Challenge 2024 (5-14 June 2024)
ShehbazTariq/ibm-quantum-challenge-fall-22
For IBM Quantum Fall Challenge 2022
ShehbazTariq/ImageClassifier-PreTrained
KPITB Innova Scholarship 2022 - AI Programming with Python
ShehbazTariq/LamA_QAOA
ShehbazTariq/LaTeX-graphics-with-TikZ
LaTeX graphics with TikZ, by Packt Publishing
ShehbazTariq/LaTeX-Cookbook
LaTeX Cookbook, published by Packt
ShehbazTariq/ng-video-lecture
ShehbazTariq/OOP_Tutorial
ShehbazTariq/PsCo
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)
ShehbazTariq/pytorch-Deep-Learning
Deep Learning (with PyTorch)
ShehbazTariq/pytorch-deep-learning-1
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
ShehbazTariq/pytorchTutorial
PyTorch Tutorials from YouTube channel
ShehbazTariq/QCM23
ShehbazTariq/qiskit-cert-workbook
Qiskit Certification exam preparation notebook
ShehbazTariq/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 :)
ShehbazTariq/QSSL
Code for Quantum Self-Supervised Learning
ShehbazTariq/Quantum-Multi-Agent-Reinforcement-Learning
Quantum Multi-agent Reinforcement Learning (QMARL)
ShehbazTariq/quantum-neural-network
For building quantum neural networks in Qiskit and integrating with PyTorch
ShehbazTariq/SAM-SC
ShehbazTariq/scalable_quantum_tomography
ShehbazTariq/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.
ShehbazTariq/Semantic-Communication-Systems
pytorch implementation of "Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data"
ShehbazTariq/ST
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ShehbazTariq/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.