CHEN_QUN's repositories
QuantumAnnealing.jl
Tools for the Simulation and Execution of Quantum Annealing Algorithms
AMP_chgpt_lin_reg
AMP for Change Point Inference in High-Dimensional Linear Regression
HCubature.jl
pure-Julia multidimensional h-adaptive integration
QuantumAnnealingAnalytics.jl
Tools for Visualization of Quantum Annealing
ocp
Open Catalyst Project's library of machine learning methods for catalysis
MatrixProductBP.jl
Matrix Product Belief Propagation
jax-sysid
A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax
DIG
A library for graph deep learning research
EinExprs.jl
Einsum Expressions in Julia
SuppMaterial_Alfa01
This project contains the codes used in our publication comparing P-LBM and FE-LBM
CTS-HDBO
Code Base for Published Paper "Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization" in AISTATS 2024 - AISTATS 2024 - Vol 238
entropy_aware_message_passing
Repository for the 2023 Deep Learning course project
EMQAOA-DARBO
This is the github repo to support the manuscript "Quantum approximate optimization via learning-based adaptive optimization"
MLJLinearModels.jl
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
DiS
Scalable Diffusion Models with State Space Backbone
DenseSSM
A repository for DenseSSMs
IterativeSolvers.jl
Iterative algorithms for solving linear systems, eigensystems, and singular value problems
Quantized_Channel_Estimation
Implementation of the Paper "Channel Estimation for Quantized Systems based on Conditionally Gaussian Latent Models".
Diffusion_channel_est
Source code of the Paper "Diffusion-Based Generative Prior for Low-Complexity MIMO Channel Estimation"
SpeedyWeather.jl
Play atmospheric modelling like it's LEGO.
SMAI
Alignability testing and integration of single-cell data
PhiFlow
A differentiable PDE solving framework for machine learning
ISL
Training Implicit Generative Models via an Invariant statistical loss (ISL)
trieste_stopping
Stopping rules for Bayesian optimization using Trieste
TheWebConf24-LTGNN-PyTorch
TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"
AsymmetryLoRA
Preprint: Asymmetry in Low-Rank Adapters of Foundation Models