cainiao12306's Stars
JosephKJ/Awesome-Novel-Class-Discovery
A list of papers that studies Novel Class Discovery
MANDO-Project/ge-sc
MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabilities in smart contract source code at both coarse-grained contract-level and fine-grained line-level.
git-disl/GPTLens
Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives (TPS23)
Messi-Q/GNNSCVulDetector
Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
datawhalechina/machine-learning-toy-code
《机器学习》(西瓜书)代码实战
benggee/data-structure
数据结构大全,从最基础的线性数据结构到树形数据结构,再到图论,排序算法,都有完整的实现。目前比较完整的是java的代码,后面会陆续完善c++、c、python、golang版本
aayushdewangan11/Blockchain_Enabled_Federated_learning
A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model updates. This repo hosts an simulated implementation for described model written in Python.
wzljerry/FBFL-A-Flexible-Blockchain-based-Federated-Learning-Framework-in-Mobile-Edge-Computing
We will implement this framework.
sreyafrancis/BlockchainForFederatedLearning
Democratize access to data, decentralize Artificial intelligence and enhance user privacy with Federated learning and Blockchain.
s-elo/DNN-Blockchain
implement the distributes neural network on blockchain
jianyu-niu/blockchain_conference_paper
The existing blockchain-related academic papers. All papers are sorted according to the conference and published year. Welcome developers or researchers to add more published papers to this list.
KaiyangZhou/Dassl.pytorch
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
dedupeio/dedupe
:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.