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tutorial-git

Repo for the git turorial for the Digital Twin project.

tutorials

Repository containing the Kornia related tutorials

tvs_prune

TVS Prune source code. Includes pruning scripts and ipython notebooks for plotting figures. Requires >16GB RAM.

twin-istanbul

A template digital twin for smart cities, created for Istanbul with ❤️

twingraph

TwinGraph is a Python framework for distributed container orchestration using Kubernetes clusters, Docker Compose/Swarm or cloud resources on AWS (AWS Lambda, AWS Batch, Amazon EKS). Applications include high-throughput simulations, simulation-driven optimization, Digital Twins and machine learning.

twistwantb

Building tight-binding model for generic twisted graphene

twittersentimentanalysis

LSTM based application to identify abusive tweets

two-level-quantum-systems

Here we explore calculating the scattering rate for a two-level quantum system. Utilizes Steady state solutions of Optical Bloch Equations. Useful in quantum computing

two-spin-qubits

twoclasstsne

Pre-Trained Imagenet based two class T-SNE plot using Openfreameworks

uav-digital-twin

ROS 2 packages that implement dynamic structural health monitoring for a UAV via structural digital twin, formulated using a probabilistic graphical model

ubistandard-for-quantum-technologies

This repo is a part of our submission for QWorld/QTurkey Quantum Technologies Hackathon Oct/2020

uclq-quantum-energy-hackathon

udacityexamples

TensorFlow examples

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

umd-ws21-ece-560-qubit-resonance-control

In this project, we will attempt to define a dynamic control law for determining the spin resonance of a single qubit.

unas

Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral

understand-transposed-convolutions-and-build-conv2dtranspose-layer-from-stratch

In generative adversarial network (GAN), convolutions and transposed convolutions are both heavily involved. While convolutions play an important role in the discriminator, transposed convolutions are the primary building blocks for the generator. The tensorflow API - Keras - has made building GAN a very convenient process. However, sometimes it ca

understanding-decoding

The data and the PyTorch implementation for the models and experiments in the paper "Language Model Decoding as Likelihood–Utility Alignment".

unet-nested-multiple-classification

This repository contains code for a multiple classification image segmentation model based on UNet and UNet++

unicorn

Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc, PowerPC, RiscV, S390x, TriCore, X86)

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

unimatch

Unifying Flow, Stereo and Depth Estimation

union

UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation

unitary-modular

Code for the GHZ state preparation simulation and circuit placement outlined in Bapat et al 2018

unit_cell_designing

Use Deep Reinforcement Learning to Design Mechanical Metamaterial Unit Cells

univnet

Unofficial PyTorch Implementation of UnivNet Vocoder (https://arxiv.org/abs/2106.07889)

unsupervised-learning-metrics

Unsupervised Learning Metrics

urdu-dataset

Urdu Language Speech Emotional Corpus

using-vcham

How to use VCHam - a program to calculate the vibronic coupling Hamiltonian.