Pinned Repositories
bounded-gate-tomography
Code for the paper "learning quantum states and unitaries of bounded gate complexity"
CAE-ADMM
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
computational-qm
code for a course on computational quantum mechanics: ED, DMRG, MPS, iTEBD, MCMC & Normalizing Flow
full-cov-mdn
Mixture Density Network in PyTorch with full covariance support.
g-qpca
Quantum Principal Component Analysis (QPCA) as a generative model
juno-reconstruction
Neutrino energy reconstruction program in Jiangmen Underground Neutrino Observatory (JUNO) using statistical inference and machine learning techniques.
magic-microlensing
MAGIC: Microlensing Analysis Guided by Intelligent Computation. A PyTorch framework for automatic analysis of realistic microlensing light curves.
qml-advantage
Code for the paper "Entanglement-induced provable and robust quantum learning advantages"
quantum-fed-infer
A quantum machine learning algorithm for quantum non-IID federated learning
netket
Machine learning algorithms for many-body quantum systems
haimengzhao's Repositories
haimengzhao/CAE-ADMM
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
haimengzhao/quantum-fed-infer
A quantum machine learning algorithm for quantum non-IID federated learning
haimengzhao/magic-microlensing
MAGIC: Microlensing Analysis Guided by Intelligent Computation. A PyTorch framework for automatic analysis of realistic microlensing light curves.
haimengzhao/g-qpca
Quantum Principal Component Analysis (QPCA) as a generative model
haimengzhao/juno-reconstruction
Neutrino energy reconstruction program in Jiangmen Underground Neutrino Observatory (JUNO) using statistical inference and machine learning techniques.
haimengzhao/qml-advantage
Code for the paper "Entanglement-induced provable and robust quantum learning advantages"
haimengzhao/computational-qm
code for a course on computational quantum mechanics: ED, DMRG, MPS, iTEBD, MCMC & Normalizing Flow
haimengzhao/full-cov-mdn
Mixture Density Network in PyTorch with full covariance support.
haimengzhao/juno-simulation
Simulation program of physical processes in Jiangmen Underground Neutrino Observatory (JUNO).
haimengzhao/academic
My personal page: hmzhao.me
haimengzhao/bounded-gate-tomography
Code for the paper "learning quantum states and unitaries of bounded gate complexity"
haimengzhao/relativity-jax
General relativity with automatic differentiation in Jax.
haimengzhao/edge-detection
A Simple Edge Detection Demo Using Various Basic Methods
haimengzhao/haimengzhao
haimengzhao/latex-alpha2
LaTeX package that embeds and executes Wolfram Language (Mathematica) codes inside LaTeX documents
haimengzhao/learn-vmc
code for learning Variational Monte Carlo
haimengzhao/nn-formula-for-primes
a formula for primes based on artificial neural network
haimengzhao/cae
Lossy Image Compression with Compressive Autoencoders
haimengzhao/coding-interview-university
A complete computer science study plan to become a software engineer.
haimengzhao/DL4CSRC
Hitchhiker's Guide to Deep Learning for Computational Scientists
haimengzhao/gettorbrowser
This is a repository to provide links for downloading Tor Browser from Github.
haimengzhao/harvard_notes
Notes for courses taken at Harvard (2015--2019)
haimengzhao/hugo-academic
📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!
haimengzhao/learngit
haimengzhao/MongeAmpereFlow
Continuous-time gradient flow for generative modeling and variational inference
haimengzhao/netket
Machine learning algorithms for many-body quantum systems
haimengzhao/pdf2htmlEX
Convert PDF to HTML without losing text or format.
haimengzhao/simple
A static blog generator with a single static page
haimengzhao/tensorflow
Computation using data flow graphs for scalable machine learning