PyTorch implementation of some learning rate schedulers for deep learning researcher.
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Updated
Sep 6, 2022 - Python
PyTorch implementation of some learning rate schedulers for deep learning researcher.
Reducer for similar simultaneously coroutines
Repositorio con los ejemplos desarrollados en las sesiones sincrónicas de los grupos P45 y P61, Ciclo 1, MisiónTIC2022-UTP.
Parallel implementation of Breadth-First Search algorith in Java MapReduce and PySpark. This implementation finds degrees of separation between Twitter Users
Here I will upload all the codes related to what i am teaching on my youtube channel. This codes will work as a reference.
A repository for a _real_ project (Map - reduce)
Reduce Video Size upto 20X without loosing much quality
A repository Python programming language, covering fundamental concepts, advanced topics, and practical applications for beginners.
Package research code and split it among several machines in parallel
Try to compress incompressible data
Sample MapReduce
parallelize reduce for python
Unlock the power of functional programming in Python with this repository's concise code examples and clear explanations covering core concepts, higher-order functions, closures, decorators, generators, and more. Elevate your Python skills and tackle real-world challenges using functional programming principles.
Python programming basics cover advanced concepts such as lambda functions, map functions, list comprehensions, and object-oriented programming. These concepts allow for more efficient and powerful coding techniques, enabling developers to write concise and expressive code for complex operations.
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