Instance-Dependent Partial Label Learning

Related tags

Deep Learningvalen
Overview

Instance-Dependent Partial Label Learning

Installation


pip install -r requirements.txt

Run the Demo


benchmark-random

mnist

python -u main.py --gpu 0 --bs 256 --partial_type random --dt benchmark --ds mnist --gamma 10 --beta 0.1

kmnist

python -u main.py --gpu 0 --bs 256 --partial_type random --dt benchmark --ds kmnist --gamma 10 --beta 0.1

fmnist

python -u main.py --gpu 0 --bs 256 --partial_type random --dt benchmark --ds fmnist --gamma 10 --beta 0.1

cifar10

python -u main.py --gpu 0 --bs 256 --partial_type random --dt benchmark --ds cifar10 --lr 5e-2 --wd 1e-3 --gamma 10 --beta 0.1

benchmark-instance

mnist

python -u main.py --gpu 0 --bs 256 --partial_type feature --dt benchmark --ds mnist --warm_up 10 --gamma 5 --beta 0.1

kmnist

python -u main.py --gpu 0 --bs 256 --partial_type feature --dt benchmark --ds kmnist --warm_up 10 --gamma 5 --beta 0.1

fmnist

python -u main.py --gpu 0 --bs 256 --partial_type feature --dt benchmark --ds fmnist --warm_up 10 --gamma 5 --beta 0.1

cifar10

python -u main.py --gpu 0 --bs 256 --partial_type feature --dt benchmark --ds cifar10 --lr 5e-2 --wd 1e-3 --warm_up 10 --gamma 10 --beta 0.1 --correct 0.2

realword

lost

python -u main.py --gpu 0 --bs 100 --dt realworld --ds lost --gamma 20 --beta 0.01

MSRCv2

python -u main.py --gpu 0 --bs 100 --dt realworld --ds MSRCv2 --gamma 20 --beta 0.01

BirdSong

python -u main.py --gpu 0 --bs 100 --dt realworld --ds birdac --gamma 20 --beta 0.01

Soccer Player

python -u main.py --gpu 0 --dt realworld --ds spd --gamma 20 --beta 0.01 --correct 0.2

LYN

python -u main.py --gpu 0 --dt realworld --ds LYN --gamma 20 --beta 0.01 --correct 0.2

Data


Deep Face Recognition in PyTorch

Face Recognition in PyTorch By Alexey Gruzdev and Vladislav Sovrasov Introduction A repository for different experimental Face Recognition models such

Alexey Gruzdev 141 Sep 11, 2022
A modular application for performing anomaly detection in networks

Deep-Learning-Models-for-Network-Annomaly-Detection The modular app consists for mainly three annomaly detection algorithms. The system supports model

Shivam Patel 1 Dec 09, 2021
Tutorial on active learning with the Nvidia Transfer Learning Toolkit (TLT).

Active Learning with the Nvidia TLT Tutorial on active learning with the Nvidia Transfer Learning Toolkit (TLT). In this tutorial, we will show you ho

Lightly 25 Dec 03, 2022
Stock-history-display - something like a easy yearly review for your stock performance

Stock History Display Available on Heroku: https://stock-history-display.herokua

LiaoJJ 1 Jan 07, 2022
End-to-End Object Detection with Fully Convolutional Network

This project provides an implementation for "End-to-End Object Detection with Fully Convolutional Network" on PyTorch.

472 Dec 22, 2022
Quickly and easily create / train a custom DeepDream model

Dream-Creator This project aims to simplify the process of creating a custom DeepDream model by using pretrained GoogleNet models and custom image dat

55 Dec 27, 2022
Repository for publicly available deep learning models developed in Rosetta community

trRosetta2 This package contains deep learning models and related scripts used by Baker group in CASP14. Installation Linux/Mac clone the package git

81 Dec 29, 2022
This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

BMW-IntelOpenVINO-Segmentation-Inference-API This is a repository for a semantic segmentation inference API using the OpenVINO toolkit. It's supported

BMW TechOffice MUNICH 34 Nov 24, 2022
An open source Jetson Nano baseboard and tools to design your own.

My Jetson Nano Baseboard This basic baseboard gives the user the foundation and the flexibility to design their own baseboard for the Jetson Nano. It

NVIDIA AI IOT 57 Dec 29, 2022
Pytorch implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection"

M-LSD: Towards Light-weight and Real-time Line Segment Detection Pytorch implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Det

123 Jan 04, 2023
Music library streaming app written in Flask & VueJS

djtaytay This is a little toy app made to explore Vue, brush up on my Python, and make a remote music collection accessable through a web interface. I

Ryan Tasson 6 May 27, 2022
UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model

UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model Official repository for the ICCV 2021 paper: UltraPose: Syn

MomoAILab 92 Dec 21, 2022
Prml - Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

Pattern Recognition and Machine Learning (PRML) This project contains Jupyter notebooks of many the algorithms presented in Christopher Bishop's Patte

Gerardo Durán-Martín 1k Jan 07, 2023
NeRViS: Neural Re-rendering for Full-frame Video Stabilization

Neural Re-rendering for Full-frame Video Stabilization

Yu-Lun Liu 9 Jun 17, 2022
Implementation of the method proposed in the paper "Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation"

Neural Descriptor Fields (NDF) PyTorch implementation for training continuous 3D neural fields to represent dense correspondence across objects, and u

167 Jan 06, 2023
Dynamical Wasserstein Barycenters for Time Series Modeling

Dynamical Wasserstein Barycenters for Time Series Modeling This is the code related for the Dynamical Wasserstein Barycenter model published in Neurip

8 Sep 09, 2022
Official PyTorch Implementation of paper "Deep 3D Mask Volume for View Synthesis of Dynamic Scenes", ICCV 2021.

Deep 3D Mask Volume for View Synthesis of Dynamic Scenes Official PyTorch Implementation of paper "Deep 3D Mask Volume for View Synthesis of Dynamic S

Ken Lin 17 Oct 12, 2022
Method for facial emotion recognition compitition of Xunfei and Datawhale .

人脸情绪识别挑战赛-第3名-W03KFgNOc-源代码、模型以及说明文档 队名:W03KFgNOc 排名:3 正确率: 0.75564 队员:yyMoming,xkwang,RichardoMu。 比赛链接:人脸情绪识别挑战赛 文章地址:link emotion 该项目分别训练八个模型并生成csv文

6 Oct 17, 2022
Quick program made to generate alpha and delta tables for Hidden Markov Models

HMM_Calc Functions for generating Alpha and Delta tables from a Hidden Markov Model. Parameters: a: Matrix of transition probabilities. a[i][j] = a_{i

Adem Odza 1 Dec 04, 2021
PRTR: Pose Recognition with Cascade Transformers

PRTR: Pose Recognition with Cascade Transformers Introduction This repository is the official implementation for Pose Recognition with Cascade Transfo

mlpc-ucsd 133 Dec 30, 2022