Efficient Batched Reinforcement Learning in TensorFlow
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Updated
Jan 11, 2019 - Python
Efficient Batched Reinforcement Learning in TensorFlow
Notes for multi-processing and multi-threading
Mpcurses is an abstraction of the Python curses and multiprocessing libraries providing function execution and runtime visualization capabilities.
This short little python module can help you with running your iteratable functions on multi process without any hassle of creating process by yourself.
Python implementation of a multi-processed gRPC client/server with streaming capabilities.
Using celery framework with AI models (Documentation)
Examples on multi-processing and multi-threading in Python.
a hybrid CPU-GPU combined multi-processing approach for optimized performance in AES128 algorithm. The encryption key is derived using the HKDF (HMAC-based Key Derivation Function) combined with the scrypt algorithm for added security.
Demonstration of multithreading and multiprocessing in basic prime number searching maner.
Executing lengthy functions using python Rest API and processes.
Simple Python multithreading examples
Simple multi-processing python cli to set the default audio and/or subtitles of a single matroska (.mkv) file or a library of files WITHOUT having to remux the file
Secure multi threading and multi processing python socket programming implementation
[Phase II: Consumer] This repository holds the code developed in partial fulfilment of online credit course "CS370 - OS" offered at Colorado State University Online for Spring 2024.
Picture Frame that uses face recognition to identify and display images of users and uses Flickr API to import images
A python implementation of CBDT
Multi-Thread & Multi-Process Python Port Scanner
This repository serves as a playground for combining python multi-threading, -processing, and async.
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