Chao Yao's repositories
Augmentor
Image augmentation library in Python for machine learning.
awesome-active-learning
A curated list of awesome Active Learning
BAM
Official PyTorch Implementation of Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (CVPR 2022 Oral).
bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
CMU-MultimodalSDK
CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.
CVPR-2022-papers
CVPR 2022 papers with code (论文及代码）
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
DenseCLIP
[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
getaurora
极光官方版本下载页 翻墙 代理 科学上网 外网 加速器 梯子 路由
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
panoptic-deeplab
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
PFENet
PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
pytorch-deeplab-resnet
DeepLab resnet v2 model in pytorch
pytorch-tutorial
PyTorch深度学习快速入门教程（绝对通俗易懂！）
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
swarm_learning
Scripts for figures and calculations of the manuscript by Warnat-Herresthal el al. 2020
tensorflow-deeplab-resnet
DeepLab-ResNet rebuilt in TensorFlow
tianshou-docs-zh_CN
天授中文文档
Unicorn
[ECCV'22 Oral] Towards Grand Unification of Object Tracking