memory-optimization

This free RAM cleaner uses native Windows features to optimize memory areas. It's a compact, portable, and smart application.

A fast and memory-optimized string library for heavy-text manipulation in Python

Contains materials about memory optimization and zero-allocation samples.

Free up your memory for free!

This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog post.

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.

Simple RAM Cleaner

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 algorithm for Maze Generation

Memory List Manager

MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management, including MongoDB integration and OpenAI embeddings for semantic search capabilities.

Implementation of DAC'22 paper: Hierarchical Memory-Constrained Operator Scheduling of Neural Architecture Search Networks.

A generic Hash Table implemented in CPP

"Ultimate Windows Booster" is a tool designed to optimize your Windows operating system by cleaning junk files, managing startup programs, and improving resource usage for better performance.

Automatically reduce the memory size of any pandas dataframe based on downcasting bit types efficiently

A sophisticated semantic network system capable of encoding inference rules within the network itself. Built for efficient memory usage and powerful logical reasoning, zelph can process the entire Wikidata knowledge graph (1.4TB) to detect contradictions and make logical deductions.

FIDE & Google Efficient Chess AI Challenge - Create agents to play chess with resource constraints

A reasonably fast Google Search Console (GSC) API Class, written in PHP. Knows things so you don't have to.

Exploration of two important strategies to make our data analysis faster and independent of the dataset size.

Gets the smallest unsigned integer type that can represent a given value