Popular GitHub Repositories for Capacity

The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory"

PyTorch reimplementation of the paper "Swin Transformer V2: Scaling Up Capacity and Resolution" [CVPR 2022].

core code for High-Capacity Convolutional Video Steganography with Temporal Residual Modeling

Bastien One is being developed as autonomous A.I. bot with the capacity to complete complex tasks - either by itself or by creating additional specialised bots should it be required.

Custom YOLO11m model for detecting and classifying car body damage (99% shattered glass, 96% flat tire detection accuracy)—optimized for high-capacity inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.

[NeurIPS '24 Spotlight] PertEval: Unveiling Real Knowledge Capacity of LLMs via Knowledge-invariant Perturbations

A summary of my Individual Project for University of Southampton. This project aimed to inform a user if they were performing a movement correctly based on a pretrained model, with the capacity to train new models given sufficient data. View the results and methods at Final_Report.pdf

MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive HPC Workloads. A software distributed shared memory system that enables infinite memory capacity through intelligent tiered DRAM and storage management.

An efficient dynamic capacity vector with pinned element guarantees.

Example machine learning implementation to predict the residual bending moment capacity of corroded reinforced concrete beams tested under monotonic three or four-point bending. Data is collected from 54 experimental programs available in the literature.

?? ? ? A project based in Autonomous and Intelligent Agents. This project was built using Java, JADE (JAVA Agent DEvelopment Framework) and Rapid Miner Studio. The scenario chosen for this project was to combat fires with the use of flying and terrestrial autonomous and intelligent vehicles, like trucks and airplanes. In this scenario we have, as agents, the trucks, airplanes and the headquarters (responsible for coordinating the airplanes and trucks). And also, as an environment, the fires and the water supply stations (rivers, seas, lagoons, among others). Airplanes and trucks would have limited fuel and water supply capacity.

Leveraging network motifs to improve artificial neural networks

Analyze solar impact on satellites using machine learning, focusing on capacity estimation and defect detection.

This repo analyzes capacity bounds of communication systems with quantization and spectral constraints. It includes theoretical derivations and numerical evaluations of mutual information under coarse quantization and bandwidth limitations, with applications in modern wireless systems.

An experimental repository on research for training multiple models all at once in an evolutionary capacity!

Agent-based Coordination for Capacity and Energy Sharing Societies (ACCESS)

A UAV Resource Allocation system optimizing delivery from a central base to multiple outposts using priority-based distribution of medicine, food, and weapons. It considers urgency, distance, and UAV capacity, leveraging swarm algorithms for efficient, real-time resource management under constraints.

It increases ram capacity as swap partition for AI Developmenet and Usage of it in Linux Systems

Monsieur is a multi-llm powered language teacher. It can teach you different languages, primarily French. Hence, the name monsieur (informally 'Sir' in French). It has the capacity to teach language using translations, grammar lessons, and voice agent.

Battery Capacity Prediction System: A machine learning pipeline for predicting battery capacity with real-time predictions via a Flask web app, integrated with MLflow and DagsHub for tracking and model registry.