Starred repositories
Benchmark of federated learning. Dedicated to the community. 🤗
My blogs and code for machine learning. http://cnblogs.com/pinard
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer(第 2 版)》、《程序员面试金典(第 6 版)》题解
Convert DeepLesion Dataset to COCO annotation
A library for lattice-based multiparty homomorphic encryption in Go
A framework for Privacy Preserving Machine Learning
OpenMMLab Detection Toolbox and Benchmark
Skin Lesion Analysis Towards Melanoma Detection
Skin lesion detection from dermoscopic images using Convolutional Neural Networks
Detection-aided Liver Lesion Segmentation
🏥 👁️🗨️ Medical Healthcare AI | Robotic Surgery | Automated Brain Tumour Segmentation | Skin Cancer Lesion Detection & Segmentation (Melonama Recognition) | Lung Cancer detection (Chest CT Scan) | …
Deformable Dilated Faster-RCNN for Universal Lesion Detection in CT Images
Code of paper: Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection on CT Slices
Code of paper 'Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training'
🖼 A lightweight neuroimaging .nii to .png converter for Matlab and Python users
MICCAI 2022 MELA Challenge: Mediastinal Lesion Analysis (3D Detection)
Python 3 implementation of decision trees using the ID3 and C4.5 algorithms. ID3 uses Information Gain as the splitting criteria and C4.5 uses Gain Ratio
Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
A federated collaborative filtering system in tree structure(FCFT), using dynamic communication strategies and differential privacy(DP) to achieve efficient convergence while preserving privacy
Practical Federated Gradient Boosting Decision Trees (AAAI 2020)
Using Pytorch's nn.Transformer module to create an english to french neural machine translation model.
汉语自然语言处理视频教程-开源学习资料
A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"
A TensorFlow Implementation of the Transformer: Attention Is All You Need
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.