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wannier_hamiltonian_symmetrization

Restore the symmetry of Wannier Hamiltonian generated by Wannier90

wannier_shift

Interpolating Wannier functions for TMDC Heterostructure Tight-Binding Hamiltonians

wansoc

Add on-site SOC to Wannier Hamiltonian.

wantop

use wannier to do topological things

waternet

Modern replication of WaterNet from "An Underwater Image Enhancement Benchmark Dataset and Beyond", IEEE TIP 2019

waveguide-simulator

Tools based on meep and shapely for optical simulation on wavguides

waveguideqedcodes

Various codes for FTDT, FDDT, MPB, MEEP, Casimir-Polder interactions, and Green's function quantization formalism

waveguides_meep

wavetorch

🌊 Numerically solving and backpropagating through the wave equation

wgan-gp-inverse-design-waveguide-nanophotonics

This code is for PhD project of inverse design of nanophotonics structure. Open Access Available once Published

whatsappbottut

Tutorial to create WhatsApp Bot using Twilio and Python

womanium-quantum-entrepreneurship-challenge---womanium

Womanium Quantum Hackathon 2022

womanium-quantum-hackathon-2022

woops

A tool to calculate Wannier Orbital Overlap Population (WOOP).

workshop-invdesign

📐 Workshop material for optical inverse design and automatic differentiation

world-class-quantum-chemistry-with-tket---quantinuum

Womanium Quantum Hackathon 2022

xanadu-quantum-codebook

Learn quantum computing interactively with PennyLane

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

xla.jl

Julia on TPUs

xnor-net-binary-connect

A hardware implementation of a feed-forward Convolutional Neural Network called XNOR-Net which has faster execution due to the replacement of vector-matrix multiplication to “XNOR + Popcount” operation

yoda

Wise and powerful personal assistant, available in your nearest terminal

yolov4-deepsort

yolov4_deepsort

yolov4_deepsort-person-tracking

yolov4_social_distancing_deepsort

yolov5-deepsort

yolov5-deepsort-object-tracking-pytorch

Implimentation of YOLOv5 and DeepSort in Pytorch for object tracking

yolov5-deepsort-vehicle-tracking-master

In this project, urban traffic videos are collected from the middle section of Xi 'an South Second Ring Road with a large traffic flow, and interval frames are extracted from the videos to produce data sets for training and verification of YOLO V5 neural network. Combined with the detection results, the open-source vehicle depth model data set is used to train the vehicle depth feature weight file, and the deep-sort algorithm is used to complete the target tracking, which can realize real-time and relatively accurate multi-target recognition and tracking of moving vehicles.

yolov5_deepsort

yolov5_deepsort_rknn

Track vehicles and persons on rk3399pro.