RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
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Updated
May 12, 2024 - Python
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Pytorch implementation of intrinsic curiosity module with proximal policy optimization
A Python package to process Pandas Dataframe using multi-processing
A simple program scheduler for your code on different devices.
[自用轮子] 一个多线程/多进程工具模块(生产者-消费者模式实现)
Multi Threading and Multi Processing made easy in Python2.7
Lightweight, deadlock-free multithreaded pipeline framework for fast, modular Python data and ML model workflows. Easily extensible for real-time or batch processing tasks.
A daily-driver AI agent runtime built solo: multi-process isolation pods (MCP/LSP/workflow), event-sourced task ledger, proactive scheduling, and multi-channel delivery.
Sample Application to upload files from local file system to AWS S3.
Decentralized, brokerless pub/sub for multi-process communication on a single machine.
Your code, when you say, how you say
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