Pinned Repositories
AI-Battle-City
alpaca-lightning
Yet another trainings script for Alpaca
C4.5
A Java Implementation of C4.5
DBSCAN
A Java Implementation of DBSCAN
Deep-Packet
Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning
FPGrowth-python
FPGrowth based association rule mining implemented with python
GEE
Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
LuNet
Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection
MIDAS
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
Snorkel-Workshop
munhouiani's Repositories
munhouiani/Deep-Packet
Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning
munhouiani/LuNet
Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection
munhouiani/GEE
Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
munhouiani/MIDAS
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
munhouiani/Snorkel-Workshop
munhouiani/alpaca-lightning
Yet another trainings script for Alpaca
munhouiani/ood-knn
munhouiani/alfred-cleanshot
Trigger CleanShot Actions from Alfred
munhouiani/algorithm-pattern
算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~
munhouiani/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
munhouiani/CPIP
munhouiani/dash-docset-pytorch-lightning
munhouiani/Dash-User-Contributions
Dash repo of user contributed docsets
munhouiani/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
munhouiani/deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
munhouiani/docker-hexo
Docker container for running hexo with hexo admin 🐋
munhouiani/Drug-Listings-Dataset
munhouiani/FlyMile-BE
munhouiani/gitignore
A collection of useful .gitignore templates
munhouiani/hyperopt-demo
munhouiani/lightning
Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.
munhouiani/maltrail
Malicious traffic detection system
munhouiani/metaseq
Repo for external large-scale work
munhouiani/munhouiani.github.io
blog
munhouiani/onnx_transformers
Accelerated NLP pipelines for fast inference on CPU. Built with Transformers and ONNX runtime.
munhouiani/petastorm-demo
A demo for petastorm and pyspark
munhouiani/rendezvous-arch
munhouiani/sagemaker-pytorch-inference-toolkit
Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
munhouiani/shap
A game theoretic approach to explain the output of any machine learning model.
munhouiani/trojai-literature