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
Hands-On-Large-Language-Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
ibm-quantum-challenge-2024
For IBM Quantum Challenge 2024 (5-14 June 2024)
ibm-quantum-challenge-fall-22
For IBM Quantum Fall Challenge 2022
LamA_QAOA
LRMC
Efficient quantum state estimation with low-rank matrix completion
qc-noise
Quantum Noise Analysis for Quantum Addition: Part of the Quantum Computing Mentorship Program Screening Task. This repository explores the effects of noise on quantum computations, implements quantum addition using the Draper adder algorithm, and demonstrates techniques to mitigate noise impact on quantum circuits.
ShehbazTariq's Repositories
ShehbazTariq/cudaq-qrc
ShehbazTariq/AIPND_Image_classifier_project
Developing an AI application
ShehbazTariq/build-nanogpt
Video+code lecture on building nanoGPT from scratch
ShehbazTariq/deepJSCC-feedback
Joint Source-Channel Coding of Images With Feedback
ShehbazTariq/Hands-On-Large-Language-Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
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/LRMC
Efficient quantum state estimation with low-rank matrix completion
ShehbazTariq/qc-noise
Quantum Noise Analysis for Quantum Addition: Part of the Quantum Computing Mentorship Program Screening Task. This repository explores the effects of noise on quantum computations, implements quantum addition using the Draper adder algorithm, and demonstrates techniques to mitigate noise impact on quantum circuits.
ShehbazTariq/LaTeX-Cookbook
LaTeX Cookbook, published by Packt
ShehbazTariq/ng-video-lecture
ShehbazTariq/OOP_Tutorial
ShehbazTariq/podcast-generator
ShehbazTariq/podcast-test
ShehbazTariq/PsCo
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)
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/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/ShehbazTariq
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.