Wong Mun Hou's repositories
Deep-Packet
Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning
alpaca-lightning
Yet another trainings script for Alpaca
alfred-cleanshot
Trigger CleanShot Actions from Alfred
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~
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Dash-User-Contributions
Dash repo of user contributed docsets
datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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.
docker-hexo
Docker container for running hexo with hexo admin 🐋
gitignore
A collection of useful .gitignore templates
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.
maltrail
Malicious traffic detection system
metaseq
Repo for external large-scale work
onnx_transformers
Accelerated NLP pipelines for fast inference on CPU. Built with Transformers and ONNX runtime.
petastorm-demo
A demo for petastorm and pyspark
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.
shap
A game theoretic approach to explain the output of any machine learning model.