Efficient Batched Reinforcement Learning in TensorFlow
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Updated
Jan 11, 2019 - Python
Efficient Batched Reinforcement Learning in TensorFlow
The amazing multi-processor 8-bit microcomputer, featuring Z80, 6502 and AVR processors. Built with CPLDs, CERBERUS 2100™ is fully programmable even with respect to its hardware, at the individual gate and flip-flop level.
Building multi-core network applications with PHP.
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Mpcurses is an abstraction of the Python curses and multiprocessing libraries providing function execution and runtime visualization capabilities.
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Python implementation of a multi-processed gRPC client/server with streaming 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.
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Research paper on Multi-Threading vs. Multi-Processing applies to Operating System & Application. The research analyzes the fundamental of multiprocess and multithreading programming. The report paper also explains the basics of how operating system functions, and OS Scheduler Algorithms. I also implement the Producer-Consumer Problem using Cond…
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Examples on multi-processing and multi-threading in Python.
Course repository for parallel programming. Includes the usage of concepts like multi-processing, threads, mutex, shared memory, locks, etc.
A multi-threaded web server that handles questions about diseases over a distributed database
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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.
🍕 A simulation based on a pizzeria coded in C++ using multi-processing, multi-threading and IPC (inter-process-communication). One of my last project of my 2nd year at Epitech
Executing lengthy functions using python Rest API and processes.
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