llyy9400 Goto Github PK

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

abu_ml

机器学习技术研究室——by阿布量化小组

ad-peps

iPEPS ground- and excited-state implementation based on Automatic Differentiation

cmark

CommonMark parsing and rendering library and program in C

conda-docs

Conda documentation

deepqmc

Deep learning quantum Monte Carlo for electrons in real space

dmrg101_tutorial

Tutorial for the Taipei Density Matrix Renormalization Group School

easy-algorithm-interview-and-practice

ferminet

An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations

image-to-latex

Convert images of LaTex math equations into LaTex code.

imps_ml_tools

Matlab implementations of IMPS algorithms for calculating ground states (https://arxiv.org/abs/1701.07035) and elementary excitations (https://arxiv.org/abs/1103.2286) for infinite one-dimensional quantum lattices

imps_python_tools

Matrix Product States algorithms for infinite systems

itensor

A C++ library for efficient tensor network calculations

mps_chebyshev-expansion

Calculates spectral function using a Chebyshev expansion with iTensor.

mpskit

Madspack file format decoder/encoder for Rex Nebular, Dragonsphere, Colonization and other Microprose games.

mpskit.jl

Contains code for tackling 1 dimensional (quantum) problems using tensor network algorithms.

mpskitmodels.jl

pycrypto

The Python Cryptography Toolkit

qa

quantitative analysis

tenpy

Repository for an open source library providing algorithms for tensor networks in python

tensorkit.jl

A Julia package for large-scale tensor computations, with a hint of category theory

tensornetwork

A library for easy and efficient manipulation of tensor networks.

tensornetwork.org

Source for The Tensor Network open-source review article

test

test

topocm_content

Course on topology in condensed matter

treetensornetwork

Tree tensor network tools.

treetensors.jl

Julia package for tree-structured tensor networks.

umps

Toolbox for uniform Matrix Product States (uMPS)