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Deep Learning Models for AKI Prediction on MIMIC-III and eICU database
pandas学习课程代码仓库
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and Privacy 2019.
A curated list of backdoor learning resources
The open-sourced Python toolbox for backdoor attacks and defenses.
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
The implement of paper "How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN"
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
CLCDSA: Cross Language Code Clone Detection using Syntactical Features and API Documentation
Utilizing code clone detection to generate comments automatically.
The project is about applying CNNs to EEG data from CHB-MIT to predict seizure
Code clone detection using abstract syntax trees for C and Python
Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
MLonCode community effort to implement Learning Distributed Representations of Code (https://arxiv.org/pdf/1803.09473.pdf)
an implementation of "code2vec: Learning Distributed Representations of Code"
A PyTorch implementation of `code2vec: Learning Distributed Representations of Code` (Alon et al., 2018)
Code Clone Detection: MLN Project
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Datasets, tools, and benchmarks for representation learning of code.
The model of paper “Semantic Code Clone Detection Via Event Embedding Tree and GAT Network”
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Watermarking against model extraction attacks in MLaaS.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.