Lu Yin's starred repositories
FreeTickets
[ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
Knowledge-Elicitation-using-Deep-Metric-Learning-and-Psychometric-Testing
Codes for "Knowledge Elicitation using Deep Metric Learning and Psychometric Testing" (ECML 2020)
sparse_learning
Sparse learning library and sparse momentum resources.
Synflow_SNIP_GraSP
Comparison of method "Pruning at initialization prior to training" (Synflow/SNIP/GraSP) in PyTorch
deep-active-learning
Deep Active Learning
In-Time-Over-Parameterization
[ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy
novelty-detection
Analyzing basic network responses to novel classes
align-hier
An implementation of our CVPR 2016 work 'Scale-Aware Alignment of Hierarchical Image Segmentation'
ImageNet_Utils
:arrow_double_down: Utils to help download images by id, crop bounding box, label images, etc.
few-shot-ssl-public
Meta Learning for Semi-Supervised Few-Shot Classification
tiered-imagenet-tools
Tools for generating tieredImageNet dataset and processing batches
gnn_few_shot_cifar100
This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)
cifar100coarse
Build PyTorch CIFAR100 using coarse labels
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
dd-ml-segmentation-benchmark
DroneDeploy Machine Learning Segmentation Benchmark
PbLite-Contour-Detection
A simplified implementation of contour detection from the paper https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/papers/amfm_pami2010.pdf
prototypical-network-pytorch
A re-implementation of "Prototypical Networks for Few-shot Learning"
prototypical-networks-tensorflow
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Prototypical-Networks-for-Few-shot-Learning-PyTorch
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
prototypical-networks
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
image-segmentation-kmeans
Basic image segmentation & compression using K-Means clustering
bag-of-words
Python Implementation of Bag of Words for Image Recognition using OpenCV and sklearn
Bag-of-Visual-Words-Python
Implementing Bag of Visual words approach for object classification and detection