MEMbo is a memory optimization app, designed to make it easy for advanced users to control the RAM usage of their device, by monitoring and killing unnecessary background processes.
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Updated
Jul 6, 2019 - Java
MEMbo is a memory optimization app, designed to make it easy for advanced users to control the RAM usage of their device, by monitoring and killing unnecessary background processes.
Automatically reduce the memory size of any pandas dataframe based on downcasting bit types efficiently
an immutable string map that optimize memory usage
A fast and memory-optimized string library for heavy-text manipulation in Python
A curated list of awesome optimizations that you can do to improve your redis deployment (both client side and server side).
An extension of micro mouse on WEBOTS using the flood filled algorithm, A star, Dijkstra’s and Breadth first search algorithm for moving the E-puck robot from start to goal in an NxM sized maze whose map was unknown to the robot (mapping and path planning). Further, leveraged Error Correction for accurate turning and recursive Backtracking algor…
Exploration of two important strategies to make our data analysis faster and independent of the dataset size.
Helpful solution to reduce image size.
Smaller Arrays Implementations fully built in python 3.8
Helpful solution to reduce image size.
A performant and memory efficient storage for immutable strings with C++17. Supports all standard char types: char, wchar_t, char16_t, char32_t and C++20's char8_t.
Implementation of DAC'22 paper: Hierarchical Memory-Constrained Operator Scheduling of Neural Architecture Search Networks.
A memory-optimized and data-oriented JSON library written in C++
Gets the smallest unsigned integer type that can represent a given value
Replication package containing code and experimental results related to a Euro-Par 2023 paper titled: Pure C++ Approach to Optimized Parallel Traversal of Regular Data Structures
A Lightweight AES-128/192/256 Implementation in C
Simple RAM Cleaner
This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog post.
Contains materials about memory optimization and zero-allocation samples.
Free up your memory for free!
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