overshiki/sparseTensorUtils

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Created over 6 years ago
Updated over 6 years ago

overshiki/sparseTensorUtils

overshiki

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sparse tensor utils based on pytorch tensor, support slice, reduce sum, element-wise math operation and so on

kmeans_pytorch

pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support

SymbolicCircuit.jl

Symbolic system for Qauntum computing, using term rewriting & equality saturation technique to manipulate quantum circuit

ansatz-based-imaginary-time-evolution

Ansatz-based imaginary time evolution method for quantum computing, implemented using mindquantum

Jupyter Notebook

StyleTransfer_pytorch2coreML

transfer model of MSG-net in pytorch into apple's coreML, for artist style transfer task, original pytorch code is from: https://github.com/zhanghang1989/PyTorch-Multi-Style-Transfer

BPL_python

Bayesian program learning with python

unet-pytorch

pytorch implementation of basic unet

Riemannian

Exprimental Implementation of Riemannian manifold calculation

products-net-pytorch

pytorch version of products network for CTR prediction, the original code is in tensorflow: https://github.com/Atomu2014/product-nets

hybrid-quantum-tensor-network

This project implement the hybrid tensor network idea for quantum computing

datasets

handle datasets such as mnist, cifar, coil20, fer2013 and so on.

Relbo.jl

rewriting ELBO: variational inference using symbolic rewriting techniques