Showing 21-40 of 71 projects
A curated list of the latest AI breakthroughs in 2022 with explanatory videos, articles, and code.
A Python library for high-quality frame interpolation of large motion videos using neural networks.
An open-source library for local feature matching using Transformers, useful for 3D vision and pose estimation tasks.
An introductory course on computational thinking using the Julia programming language.
A PyTorch library for Karras et al. (2022) diffusion models, useful for AI-powered coding tools.
Official repository for the OFA (Unifying Architectures, Tasks, and Modalities) AI model, supporting various vision-language tasks.
Official repository for Professor Hung-yi Lee's Machine Learning course in Spring 2022.
Highly efficient transformer-based model for high-resolution image restoration tasks like deblurring, deraining, and denoising.
A high-performance YOLO-based face detection model for computer vision applications.
Swin-Unet is a pure transformer-based model for medical image segmentation, with potential use in AI-powered coding tools.
An open-source full-stack e-commerce platform built with Spring Boot 3, Spring Cloud & Alibaba, and Vue3.
AutomatedLab is a provisioning solution and framework for deploying complex labs on HyperV and Azure with simple PowerShell scripts.
Weekly coding challenges in Kotlin for the MoureDev community to practice programming logic.
A benchmark for evaluating different implementations of Variational Autoencoders (VAEs) in PyTorch.
An ECCV 2022 paper on long-term video object segmentation using an Atkinson-Shiffrin memory model.
A detailed roadmap to becoming a Rust web developer in 2022, covering backend, frameworks, and best practices.
Official code for a fast ODE solver for diffusion probabilistic model sampling in 10 steps
A template for the Python Week 2022 event, focusing on FastAPI, Jupyter, and pytest
Generates high-resolution portrait style transfer using the Dual StyleGAN model.
A self-supervised video representation learning model for video understanding tasks.
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