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Bilal Riaz's Projects

acado icon acado

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.

awesome-quantum-machine-learning icon awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

bk-spca icon bk-spca

A variety of programming models relevant to scientists explained, with an emphasis on how programming constructs map to parts of the computer.

clustergan icon clustergan

Latent space clustering in Generative Adversarial Network (GAN)

crab icon crab

Quantum Optimal Control-CRAB

dsw icon dsw

Distributional Sliced-Wasserstein distance code

dynamo icon dynamo

Quantum optimal control - optimize your system or develop and benchmark new optimization algorithms

gan_sampling icon gan_sampling

Tutorial: A simple GAN to generate samples from Gaussian distribution

geoopt icon geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

julia icon julia

The Julia Language: A fresh approach to technical computing.

krotov icon krotov

Quantum Optimal Control -Krotov's Method-Python

krotov-1 icon krotov-1

Python implementation of Krotov's method for quantum optimal control

lbfgspp icon lbfgspp

A header-only C++ library for L-BFGS algorithm

liblbfgs icon liblbfgs

libLBFGS: a library of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS)

nbgrader icon nbgrader

A system for assigning and grading notebooks

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