Pinned Repositories
datamining
learn in datamining
dec
deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
FedAvg
Implement FedAvg algorithm based on Tensorflow
federated-meta
Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
Generalized-Zero-Shot-Learning-via-Aligned-Variational-Autoencoders
This repository has the pytorch implementation of the paper 'Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders' (CVPR 2019)
GFL
Galaxy Federated Learning Framework （星际联邦学习框架）
GoogleNet-BN
GoogleNet-BN,namely InceptionNetV2 based on pytorch.
kaggle-web-traffic
1st place solution
keyword_extraction
利用Python实现中文文本关键词抽取，分别采用TF-IDF、TextRank、Word2Vec词聚类三种方法。
Vaisili's Repositories
Vaisili/datamining
learn in datamining
Vaisili/dec
Vaisili/deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
Vaisili/FedAvg
Implement FedAvg algorithm based on Tensorflow
Vaisili/federated-meta
Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
Vaisili/Generalized-Zero-Shot-Learning-via-Aligned-Variational-Autoencoders
This repository has the pytorch implementation of the paper 'Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders' (CVPR 2019)
Vaisili/GFL
Galaxy Federated Learning Framework （星际联邦学习框架）
Vaisili/GoogleNet-BN
GoogleNet-BN,namely InceptionNetV2 based on pytorch.
Vaisili/kaggle-web-traffic
1st place solution
Vaisili/keyword_extraction
利用Python实现中文文本关键词抽取，分别采用TF-IDF、TextRank、Word2Vec词聚类三种方法。
Vaisili/kmeans-anchor-boxes
k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper
Vaisili/KPGT
codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)
Vaisili/LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Vaisili/lemniscate.pytorch
Unsupervised Feature Learning via Non-parametric Instance Discrimination
Vaisili/load_forecasting
A framework for load forecasting, where seasonal cycles are removed from the input signal. A genetic algorithm is used to parameterize various forecasting models.
Vaisili/mean-teacher
A state-of-the-art semi-supervised method for image recognition
Vaisili/My-Solution-to-VSB-Power-Line-Fault-Detection-Competition
My way of solving the VSB Power Line Fault Detection Kaggle's competition
Vaisili/neural_network_papers
记录一些读过的论文，给出个人对论文的评分情况并简述论文insight
Vaisili/PlotNeuralNet
Latex code for making neural networks diagrams
Vaisili/pytorch-AutoEncoders
Autoencoders in PyTorch
Vaisili/pytorch-lesson-zh
pytorch 包教不包会
Vaisili/pytorch-siamese
Siamese Network implementation using Pytorch
Vaisili/pytorch-unsupervised-segmentation
Vaisili/semisupervisedFL
semisupervised and transfer learning in federated learning
Vaisili/SSFL-Benchmarking-Semi-supervised-Federated-Learning
Benchmarking Semi-supervised Federated Learning
Vaisili/Transfer-Learning
Study of methods to counter class-imbalance in deep learning models.
Vaisili/Transfer_Learning
Vaisili/wavelettransform
visualization