Stars
Terraform Module to define a consistent naming convention by (namespace, stage, name, [attributes])
Your shell history: synced, queryable, and in context
🌐 Run headless Chrome/Chromium on AWS Lambda
Chromium Binary for AWS Lambda and Google Cloud Functions
amplify passwordless sms authentication
AWS Amplify Next.js workshop
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
serverless handsonlab repository for Gaming on AWS Korea 2017
Microservice Template for NodeBootstrap
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Use fzf to manage your tmux work environment!
A collection of libraries to optimise AI model performances
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
A collection of resources on modern C++
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)
Python High Performance – Second Edition, published by Packt
Kafka Docker for development. Kafka, Zookeeper, Schema Registry, Kafka-Connect, , 20+ connectors
An example pipeline for deploying a version controlled application from Jenkins to AKS
The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dag…
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8…
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法…