Popular GitHub Repositories for Arbitrery Sizes

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the

collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"

PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes

Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution

DashHub.ai is an open-source AI platform designed to help teams of all sizes securely integrate and manage AI solutions (LLMs, GenAI). Its flexible, vendor-neutral architecture enables seamless and cost-effective AI adoption, fostering collaboration and innovation across teams.

A camera for measuring sediment grain sizes with edge ML

This repo implements Deep Q-Network (DQN) for solving the Frozenlake-v1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 in both 4x4 and 8x8 map sizes.

This script adds RTL support to Copilot Chat by applying RTL direction, Vazir font, and custom font sizes, while keeping code blocks and result editors LTR for correct formatting. راست چین کردن هوش مصنوعی کوپایلوت در وی‌اس‌کد

Deep learning architectures to embed multi-word units into a vector space maximizing similarity between units of different sizes.

Start Small: Training Controllable Game Level Generators without Training Data by Learning at Multiple Sizes

Spanish Word Embeddings computed from large corpora and different sizes using fastText.

Art Factory - Yes, you can! Generate your own art images from text attributes (via spritesheets); incl. 2x/4x/8x zoom for bigger sizes and more

Students Project at the Technion for generating natural looking images from a single image, using deep features of VGG19 and a hierarchical architecture based on SinGAN

Turify is a community-driven ecosystem of cutting-edge AI tools designed to empower developers, startups, and organizations of all sizes. We believe the future of AI is open source, transparent, and accessible to everyone.

A curated collection of AI prompts designed to enhance software development workflows through specialized technical roles. Makes complex technical expertise more accessible and practical for teams of all sizes.

A gradio frontend for Google's Flan-T5 Large language model, can also be adjusted for other sizes.

This project demonstrates responsive web design principles using HTML5, CSS3, and Bootstrap 5.3. It features a mobile-first approach with adaptive layouts that respond to different screen sizes while maintaining visual consistency and usability..

YoloLint is a tool for automatic validation of dataset structure, annotation files, and image sizes in YOLO projects. It helps you catch typical errors in directory structure, YAML files, annotation files, and now also ensures all your images have the correct size before you start model training.