State-of-the-art data augmentation search algorithms in PyTorch

Last update: Dec 12, 2022

Related tags

Deep Learning MuarAugment

Overview

MuarAugment

Description

MuarAugment is a package providing the easiest way to a state-of-the-art data augmentation pipeline.

How to use

You can install MuarAugment via PIP:

!pip install muaraugment

Example (temp: tutorials and working examples coming soon)

from muar.augmentations import BatchRandAugment, MuAugment

# muar augmentations
rand_augment = BatchRandAugment(N_TFMS=3, MAGN=4)
mu_augment = MuAugment(rand_augment, N_COMPS=4, SELECTED=2)

# model
model = LitClassifier(mu_augment)

# data
train, val, test = mnist()

# train
trainer = Trainer()
trainer.fit(model, train, val)

Tutorials

Overview of data augmentation policy search algorithms

Owner

GitHub Repository

Effective Use of Transformer Networks for Entity Tracking

Effective Use of Transformer Networks for Entity Tracking (EMNLP19) This is a PyTorch implementation of our EMNLP paper on the effectiveness of pre-tr

5 Nov 06, 2021

Le dataset des images du projet d'IA de 2021

face-mask-dataset-ilc-2021 Le dataset des images du projet d'IA de 2021, Indiquez vos id git dans la issue pour les droits TL;DR: Choisir 200 images J

7 Nov 15, 2021

yolox_backbone is a deep-learning library and is a collection of YOLOX Backbone models.

YOLOX-Backbone yolox-backbone is a deep-learning library and is a collection of YOLOX backbone models. Install pip install yolox-backbone Load a Pret

21 Dec 28, 2022

SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements (CVPR 2021)

SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements (CVPR 2021) This repository contains the official PyTorch implementa

133 Jan 05, 2023

Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track (SIGIR 2021 Full Paper).

Optimizing Dense Retrieval Model Training with Hard Negatives Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma This repo provi

99 Dec 27, 2022

Gradient-free global optimization algorithm for multidimensional functions based on the low rank tensor train format

ttopt Description Gradient-free global optimization algorithm for multidimensional functions based on the low rank tensor train (TT) format and maximu

5 May 23, 2022

Diffgram - Supervised Learning Data Platform

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

1.6k Jan 07, 2023

Diverse Object-Scene Compositions For Zero-Shot Action Recognition

Diverse Object-Scene Compositions For Zero-Shot Action Recognition This repository contains the source code for the use of object-scene compositions f

7 Sep 21, 2022

This project aims at building a real-time wide band channel sounder using USRPs

RFNoC-HLS-WINLAB Bhargav Gokalgandhi [email protected] Pr

15 May 13, 2022

Code for "Localization with Sampling-Argmax", NeurIPS 2021

Localization with Sampling-Argmax [Paper] [arXiv] [Project Page] Localization with Sampling-Argmax Jiefeng Li, Tong Chen, Ruiqi Shi, Yujing Lou, Yong-

71 Dec 17, 2022

Implementation of "Semi-supervised Domain Adaptive Structure Learning"

Semi-supervised Domain Adaptive Structure Learning - ASDA This repo contains the source code and dataset for our ASDA paper. Illustration of the propo

3 Dec 13, 2021

Deep motion generator collections

GenMotion GenMotion (/gen’motion/) is a Python library for making skeletal animations. It enables easy dataset loading and experiment sharing for synt

23 May 24, 2022

A self-supervised learning framework for audio-visual speech

AV-HuBERT (Audio-Visual Hidden Unit BERT) Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction Robust Self-Supervised A

431 Jan 07, 2023

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

12.6k Jan 09, 2023