Yash Patel's repositories
RL-RQAOA-paper-code
Code repository for the arXiv:2207.06294 paper
efficient-algo-lab
Efficient Algorithms Lab 2018/19
CI-QuBe
This is a library of interesting instances to test and benchmark quantum algorithms for combinatorial problems.
cnfgen
CNF generator in DIMACS format. It produces common families of CNFs.
CoRRAS
Combined Regression and Ranking for Algorithm Selection
CP-Lib
Clique partition instances
JAX-in-Action
Notebooks for the "JAX in Action" book
libcmaes
libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy
max-cut-experiments-spectral-luca-trevisan
Source code for 5 Max Cut algorithms implemented in Julia
MIPLearn
Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML)
ncpol2sdpa
Solve global polynomial optimization problems of either commutative variables or noncommutative operators through a semidefinite programming (SDP) relaxation
NCTSSOS
NCTSSOS is a non-commutative polynomial optimization tool based on the moment-SOHS hierarchy.
orqviz
Python package for visualizing the loss landscape of parameterized quantum algorithms.
Paper-codes-of-SAES
Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"
profanity-unusable
Vanity address generator for Ethereum
Projector_SDP_QMaxCut
Projector SDP Hierarchy for Quantum MaxCut: https://arxiv.org/abs/2307.15688
pycma
Python implementation of CMA-ES
qaoa_ksat
QAOA k-SAT Ashley and Sami
Qcover
Qcover is an open source effort to help exploring combinatorial optimization problems in Noisy Intermediate-scale Quantum(NISQ) processor.
qiro
Quantum-Informed Recursive Optimization Algorithms
RAMA
multicut
rliable
Library for reliable evaluation on RL and ML benchmarks, as recommended by our NeurIPS 2021 Outstanding Paper.
scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
surrogate-cmaes
Surrogate CMA-ES (S-CMA-ES and DTS-CMA-ES) is a surrogate-based optimizing evolution strategy. It is based on the N. Hansen's CMA-ES algorithm which is interconnected with Gaussian processes (or random forests, that are, however, not maintained here anymore).
tensorcircuit
Tensor network based quantum circuit simulator for the NISQ era