Enhanced Convolutional Neural Network Accelerators with Memory Optimization for Routing Applications

an immutable string map that optimize memory usage

Minification of your code results in it taking up less space, making it use less storage of your HP Prime's storage memory giving you more space for more programs.

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 memory-optimized and data-oriented JSON library written in C++

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.

Helpful solution to reduce image size.

This is a distributed systems project where I was enhancing data access and transmission speeds using memory optimizations and zero copy networking techniques.

Helpful solution to reduce image size.

A lossless compression algorithm combining data compression with cryptographic properties, achieving 50% compression ratio with basic data security. Built in C and Python.

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

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

A Lightweight AES-128/192/256 Implementation in C

Smaller Arrays Implementations fully built in python 3.8

Discover a comprehensive approach to constructing credit risk models. We employ various machine learning algorithms like LightGBM and CatBoost, alongside ensemble techniques for robust predictions. Our pipeline emphasizes data integrity, feature relevance, and model stability, crucial elements in credit risk assessment.

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

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

Memory List Manager