Pinned Repositories
ABC
pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
Action_Detection_DQN
Lua
AirDet
Full conference version of AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration
Android-ProgressFragment
Implementation of the fragment with the ability to display indeterminate progress indicator when you are waiting for the initial data.
Android-PullToRefresh
DEPRECATED
AndroidCamr
architect-awesome
后端架构师技术图谱
augmix
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Beautiful-Family
iRace-VOB
The VOB of iRace to manage configuration
Amose-Yao's Repositories
Amose-Yao/ABC
pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
Amose-Yao/AirDet
Full conference version of AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration
Amose-Yao/augmix
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Amose-Yao/awesome-data-augmentation
This is a list of awesome methods about data augmentation.
Amose-Yao/awesome-papers-fewshot
Collection for Few-shot Learning
Amose-Yao/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
Amose-Yao/BalancedMSE
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
Amose-Yao/BayesianDefense
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
Amose-Yao/data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
Amose-Yao/DataLoaders_DALI
PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
Amose-Yao/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Amose-Yao/GroupNorm-reproduce
A collection of code in different frameworks that reproduces experiments in "Group Normalization"
Amose-Yao/imgaug
Image augmentation for machine learning experiments.
Amose-Yao/ISDA-for-Deep-Networks
An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.
Amose-Yao/MAttNet
MAttNet: Modular Attention Network for Referring Expression Comprehension
Amose-Yao/mobilenetv2.pytorch
72.2% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
Amose-Yao/NeuralCodeTranslator
Neural Code Translator provides instructions, datasets, and a deep learning infrastructure (based on seq2seq) that aims at learning code transformations
Amose-Yao/OpenCV-Practical-Exercise
OpenCV practical exercise
Amose-Yao/pacnet
Pixel-Adaptive Convolutional Neural Networks (CVPR '19)
Amose-Yao/pcl-adversarial-defense
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019
Amose-Yao/pytorch-adversarial_box
PyTorch library for adversarial attack and training
Amose-Yao/pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
Amose-Yao/pytorch_image_classification
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST
Amose-Yao/pytorch_misc
Code snippets created for the PyTorch discussion board
Amose-Yao/Real-World-Masked-Face-Dataset
Real-World Masked Face Dataset，口罩人脸数据集
Amose-Yao/self-supervised-relational-reasoning
Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
Amose-Yao/tableExport.jquery.plugin
"table2JSON", "table2XML", "table2PNG","table2CSV","table2Excel","table2Word","table2Powerpoint","table2txt","table2PDF"
Amose-Yao/temperature_scaling
A simple way to calibrate your neural network.
Amose-Yao/vision
Datasets, Transforms and Models specific to Computer Vision
Amose-Yao/zaidalyafeai.github.io
Implementation of web friendly ML models using TensorFlow.js