deyh2020 Goto Github PK

unimatch

Unifying Flow, Stereo and Depth Estimation

union

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

unit_cell_designing

Use Deep Reinforcement Learning to Design Mechanical Metamaterial Unit Cells

unitary-modular

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

univnet

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

urdu-dataset

Urdu Language Speech Emotional Corpus

using-vcham

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

vae-inverse-design

vanillanet

variational-quantum-eigensolvers

Hybrid Quantum Classical algorithm to variationally determine the ground state energy of a Hamiltonian.

varqus

This is the code implemented for the QHack 2022. We implement the results of https://doi.org/10.1103/PhysRevX.7.021050

vartianal-quantum-eigensolver

VQE is used to find the ground state energy of an atom or molecule.

vf-2_digital_twin

Approach to create a digital twin of Haas VF-2 vertical CNC mill

video-ai-challenge---womanium

Womanium Quantum Hackathon 2022

viewer

ML models and internal tensors 3D visualizer

visgrader

Automatic Grading for D3 Visualizations

vision-transformer-based-multi-class-classification-for-simulated-6dof-robot

The project shows how to create our own large-scale synthetic dataset for multi-class classification. The goal is to create a Vision Transformer model from scratch and run it in a digital twin made in Unity with a 6 DoF robot for palletization process.

vision_transformer

visioncolab

Google colab's for image processing, pattern recognition and computer vision

visualdl

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

viz_3dbbox_ros2_pointpillars

Visualization tool for 3D bounding box results of TAO-PointPillars

vovnet-detectron2

[CVPR 2020] VoVNet backbone networks for detectron2

voxformer

[CVPR 2023] A Cutting-edge Baseline for 3D Semantic Occupancy Prediction

vqe

I Used the Variational Quantum Eigensolver (VQE) to find the ground state of a 4by4 matrix hamiltonian which we will use two qubits for it. The VQE algorithm is run in a noisy and noiseless simulator. The code implementation is written with the Qiskit language.

vqe-error-mitigation

VQE with Error Mitigation for Qiskit

vqe-qosf-task4

This repo contains the code for finding minimum energy eigenstate of a 2 Qubit hamiltonian using VQE algorithm.

vqo-nonlocality-noisy-quantum-networks

Supplemental code for "Variational Quantum Optimization of Nonlocality in Noisy Quantum Networks"

vslam-playground

Building a full Visual SLAM pipeline to experiment with different techniques

w2v2-how-to

How to use our public wav2vec2 dimensional emotion model