multi-environment

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

Multi-environment CSV data analysis orchestrator that resolves dependency conflicts between profiling engines through isolated conda environments while providing a unified interface.

Multi-environment Docker Compose setup with dev/prod/test separation, Docker secrets, Compose profiles, database migrations, and automated testing — all managed via Makefile.

Production-grade CI/CD platform with Flask REST API, PostgreSQL, Docker, and GitLab CI/CD — multi-stage pipeline with Trivy security scanning, branch-based deployments, and manual approval for production.

Production-style CI/CD pipeline deploying a containerized app to Amazon ECS (Fargate) via GitHub Actions. Implements Build Once, Deploy Many across Dev → Stage → Prod using GitHub Environments, manual approval gates, and per-environment ECS task definitions, clusters, and services. Built with Docker, ECR, and AWS IAM.

A git repo template for AWS Lambda Python project

Dueling Double DQN with NoisyNet exploration for Snake - single and multi-environment parallel training

🛡️ EnvShield - Lightweight Environment Variable Security Management CLI Engine | 轻量级环境变量安全管理CLI引擎 - AES-256 Encryption, 15 Audit Rules, Source Scanner, Git Hooks, TUI Dashboard

Comprehensive password updater for JSON configuration files with base64 encoding and ZIP compression