Pinned Repositories
aot-benchmark
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
learning-to-reweight-examples
PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning
mega.pytorch
Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020
mentornet
Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
mia-graph-show
A convolutional knowledge graph of billion web images, BigData2018
movie-network
A D3.js visualization of relationships between movies extracted from a CF engine
STFT
Spatial-Temporal Feature Transformation for Video Object Detection, MICCAI2021
lingyunwu14's Repositories
lingyunwu14/STFT
Spatial-Temporal Feature Transformation for Video Object Detection, MICCAI2021
lingyunwu14/mia-graph-show
A convolutional knowledge graph of billion web images, BigData2018
lingyunwu14/aot-benchmark
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
lingyunwu14/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
lingyunwu14/CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
lingyunwu14/HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
lingyunwu14/learning-to-reweight-examples
PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning
lingyunwu14/mega.pytorch
Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020
lingyunwu14/mentornet
Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
lingyunwu14/movie-network
A D3.js visualization of relationships between movies extracted from a CF engine
lingyunwu14/PATrans
lingyunwu14/Switchable-Normalization
Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779