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ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

arc-alkali-rydberg-calculator

Object-oriented Python library for computation of properties of highly-excited Rydbeg states of alkali atoms.

auto-sklearn

Automated Machine Learning with scikit-learn

catn

Contracting Arbitrary Tensor Networks

convoca

Predict and analyze cellular automata using convolutional neural networks

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

gym-entangled-ions

OpenAI gym environment for the design of ion trap experiments generating high-dimensional multipartite entanglement.

hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

hands-on-data-analysis

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

itebd

iTEBD simulation for XXZ spin chain

keras

Deep Learning for humans

lattice-quarl

Ground States of Quantum Many Body Lattice Models via Reinforcement Learning

lazy

Library of Quantum Many Body Algorithms in Simple Implementations

many-body-enhanced-metrology

Original data for our paper "Enhanced metrology at the critical point of a many-body Rydberg atomic system".

marburg

physics meets neural networks

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

ncon

Tensor network contraction function for Python 3.

neko_neko

study github

neural-combinatorial-rl-pytorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

neuralrg

Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.

np-hard-deep-reinforcement-learning

pytorch neural combinatorial optimization

optimizedtensorcontraction

Global search algorithms for finding optimal tensor network contraction sequences.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

qiskit-textbook

A university quantum algorithms/computation course supplement based on Qiskit

quantum-arch-search

Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)

quantum-optics-with-python

This is a repository for notes on Quantum Optics. The examples are implemented by QuTip using Python.

quantummanybody

Quantum many-body problem with machine learning

quantumoptics.jl-examples

Examples for QuantumOptics.jl